Arena Llm Jobs in Usa

The opportunity

Delaware North Sportservice is hiring part-time Concessions Supervisors to join our team at Little Caesars Arena in Detroit, Michigan. As a Concessions Supervisor, you will be responsible for leading team members to provide exceptional guest service. 

If you thrive on excitement and want your workday to fly by, apply now to join the game day action.

Pay

$17.25 - $17.25 / hour

Information on our comprehensive benefits package can be found at .

What we offer

We care about our team member’s personal and professional well-being. Delaware North provides a benefits package designed to give you the comfort, safety, and security you need to deliver exceptional experiences for our guests. All team members receive benefits including:

• Weekly pay
• Training and development opportunities
• Employee discounts
• Flexible work schedules

Eligible team members may also receive: health, dental, and vision insurance, 401(k) with company match, paid vacation days and holidays, paid parental bonding leave, employee assistance program, and tuition and/or professional certification reimbursement.

What will you do?

• Assign duties to scheduled team members and assist with training 
• Investigate and resolve complaints regarding food quality, service, or accommodations
• Monitor food levels and order product from our warehouse as needed 
• Assist with opening and closing procedures of concession stands in an assigned area
• Assist guests, stock shelves, count inventory, and perform cashier duties when necessary

More about you

• Experience working in food service required
• Minimum of 2 years' of supervisory experience preferred
• Must be able to implement rules and direct employees
• Ability to anticipate and fulfill guest needs while thriving in a fast-paced environment
• No college degree required

Physical requirements

• Constant standing, walking, bending, reaching, and repetitive motions 
• Ability to lift stock up to 50 pounds occasionally 

Shift details

Evenings
Weekends
Events

Who we are

Delaware North is the food, beverage, and retail provider at Little Caesars Arena. The 20,000-seat venue opened in 2017 and is home of the NHL's Detroit Red Wings and the NBA's Detroit Pistons. We provide a full accompaniment of services, including concessions and premium dining services in a variety of innovative club areas, loge boxes, and suites.

Our business is all about people, and that includes you. At Delaware North, you’re not just part of a team — you’re part of a global legacy: a family-owned company with 100+ years of history behind it. Our operations span the world, offering you unique paths to growth and success.

Who says you can't love where you work? With jobs in iconic sports arenas, stunning national parks, exciting casinos, and more, we pride ourselves on giving the world great times in great places. And whether you're interested in restaurants, hotels, sports, gaming, operations, or retail, part-time or full-time, we're invested in helping you achieve your career goals.

Together, we're shaping the future of hospitality — come grow with us!

Delaware North, along with its subsidiaries, is an equal opportunity employer, showcasing job opportunities and considering applicants for all positions without regard to race, color, religion, sex, gender identity, national origin, age, disability, protected veteran status, sexual orientation, or any other legally protected status.

The opportunity

Delaware North Sportservice is hiring seasonal Bussers to join our team at Little Caesars Arena in Detroit, Michigan. As a Busser, you will demonstrate excellent time management skills as well as the ability to set priorities and respond to changing needs within the dining room.

If you thrive in a collaborative, fast-paced environment and take pride in delivering exceptional service to guests, apply now.

Pay

$13.73 - $14.00 / hour

Information on our comprehensive benefits package can be found at .

What we offer

We care about our team member’s personal and professional well-being. Delaware North provides a benefits package designed to give you the comfort, safety, and security you need to deliver exceptional experiences for our guests. All team members receive benefits including:

• Weekly pay
• Training and development opportunities
• Employee discounts
• Flexible work schedules

Eligible team members may also receive: health, dental, and vision insurance, 401(k) with company match, paid vacation days and holidays, paid parental bonding leave, employee assistance program, and tuition and/or professional certification reimbursement.

What will you do?

• Check-in with management for daily assignments and attend pre-shift briefing
• Maintain cleanliness and sanitation of the dining
• Remove dirty dishes, silverware, and empty glasses from guest tables between courses and after guests depart
• Reset tables once guests leave according to floor plan or instructions from management
• Assist in counting china, glass, silver, and linen

More about you

• Ability to work flexible hours, including nights, weekends, and holidays in addition to normal business hours, as needed
• At least one year of experience or training as a Runner or Busser with a similar style of dining, capacity, and volume
• No high school diploma or GED required

Physical requirements

• Ability to lift, balance, and move large food trays, weighing up to 35 pounds, for set-up, service, and clean-up
• Constant standing, walking, bending, reaching, and repetitive motions; may include walking up and down stairs
• Ability to maneuver between tables and around corners

Shift details

Evenings
Weekends
Events

Who we are

Delaware North is the food, beverage, and retail provider at Little Caesars Arena. The 20,000-seat venue opened in 2017 and is home of the NHL's Detroit Red Wings and the NBA's Detroit Pistons. We provide a full accompaniment of services, including concessions and premium dining services in a variety of innovative club areas, loge boxes, and suites.

Our business is all about people, and that includes you. At Delaware North, you’re not just part of a team — you’re part of a global legacy: a family-owned company with 100+ years of history behind it. Our operations span the world, offering you unique paths to growth and success.

Who says you can't love where you work? With jobs in iconic sports arenas, stunning national parks, exciting casinos, and more, we pride ourselves on giving the world great times in great places. And whether you're interested in restaurants, hotels, sports, gaming, operations, or retail, part-time or full-time, we're invested in helping you achieve your career goals.

Together, we're shaping the future of hospitality — come grow with us!

Delaware North, along with its subsidiaries, is an equal opportunity employer, showcasing job opportunities and considering applicants for all positions without regard to race, color, religion, sex, gender identity, national origin, age, disability, protected veteran status, sexual orientation, or any other legally protected status.

The opportunity

Delaware North Sportservice is searching for seasonal Press Dining Attendants to join our team at Little Caesars Arena in Detroit, Michigan. As a Club Attendant, you will be responsible for ensuring the effective operation of assigned luxury suites, including stocking, serving, and attending to guests' needs.

If you are looking for a fast-paced role offering opportunity and potential to learn where your efforts are rewarded, apply now. 

Pay

$16.43 - $18.00 / hour

Information on our comprehensive benefits package can be found at .

What we offer

We care about our team member’s personal and professional well-being. Delaware North provides a benefits package designed to give you the comfort, safety, and security you need to deliver exceptional experiences for our guests. All team members receive benefits including:

• Weekly pay
• Training and development opportunities
• Employee discounts
• Flexible work schedules

Eligible team members may also receive: health, dental, and vision insurance, 401(k) with company match, paid vacation days and holidays, paid parental bonding leave, employee assistance program, and tuition and/or professional certification reimbursement.

What will you do?

• Communicate daily offerings to Press Members 
• Assist with taking orders, delivering food, and mixing alcoholic beverages 
• Ensure all laws and regulations are being followed, including checking for identification before serving alcohol
• Maintain area orderliness and cleanliness throughout the event
• Complete opening and closing procedures including dining room set up, clean up, and counting inventory

More about you

• No high school diploma or GED required
• Minimum of 1 year of service experience in a hotel, full-service restaurant, catering facility, or club environment required
• Previous experience as a club runner preferred

Physical requirements

• Ability to lift to 35 pounds 
• Ability to stand and walk for the entire length of the shift

Shift details

Evenings
Weekends
Events

Who we are

Delaware North is the food, beverage, and retail provider at Little Caesars Arena. The 20,000-seat venue opened in 2017 and is home of the NHL's Detroit Red Wings and the NBA's Detroit Pistons. We provide a full accompaniment of services, including concessions and premium dining services in a variety of innovative club areas, loge boxes, and suites.

Our business is all about people, and that includes you. At Delaware North, you’re not just part of a team — you’re part of a global legacy: a family-owned company with 100+ years of history behind it. Our operations span the world, offering you unique paths to growth and success.

Who says you can't love where you work? With jobs in iconic sports arenas, stunning national parks, exciting casinos, and more, we pride ourselves on giving the world great times in great places. And whether you're interested in restaurants, hotels, sports, gaming, operations, or retail, part-time or full-time, we're invested in helping you achieve your career goals.

Together, we're shaping the future of hospitality — come grow with us!

Delaware North, along with its subsidiaries, is an equal opportunity employer, showcasing job opportunities and considering applicants for all positions without regard to race, color, religion, sex, gender identity, national origin, age, disability, protected veteran status, sexual orientation, or any other legally protected status.

The opportunity

Delaware North Sportservice is hiring part-time Cleaning Attendants to join our team at Little Caesars Arena in Detroit, Michigan. As a Cleaner, you will help promote a great guest experience by keeping the property clean and sanitized. Join our team to be a part of the game day action.

Information on our comprehensive benefits package can be found at we offer

We care about our team member’s personal and professional well-being. Delaware North provides a benefits package designed to give you the comfort, safety, and security you need to deliver exceptional experiences for our guests. All team members receive benefits including:

• Weekly pay
• Training and development opportunities
• Employee discounts
• Flexible work schedules

Eligible team members may also receive: health, dental, and vision insurance, 401(k) with company match, paid vacation days and holidays, paid parental bonding leave, employee assistance program, and tuition and/or professional certification reimbursement.

What will you do?

• Thoroughly cleans public areas ensuring sanitation guidelines are maintained
• Empties wastebaskets and transports trash and waste to disposal area
• Clean areas around concession stands including condiment carts
• Conducts walk-arounds of assigned areas to assure that the facility meets housekeeping standards
• Ensures all lost and found items are turned in and logged on a daily basis
• Keeps all housekeeping areas neat, clean, and organized

More about you

• Must be at least 18 years of age
• Limited to no experience required; previous commercial cleaning or guest service experience preferred
• Working knowledge of various cleaning utensils, dryers, vacuum cleaners, tools and fixtures
• Ability to follow directions and work quickly under pressure
• Ability to make simple addition and subtraction calculations

Physical requirements

• Frequent walking and standing for entire length of shift
• Frequent climbing of stairs, bending, stooping, reaching, kneeling, and carrying
• Occasionally required to lift and/or move up to 35 pounds

Shift details

Evenings
Holidays
M-F
Weekends
Events

Delaware North is the food, beverage, and retail provider at Little Caesars Arena. The 20,000-seat venue opened in 2017 and is home of the NHL's Detroit Red Wings and the NBA's Detroit Pistons. We provide a full accompaniment of services, including concessions and premium dining services in a variety of innovative club areas, loge boxes, and suites.

Our business is all about people, and that includes you. At Delaware North, you’re not just part of a team — you’re part of a global legacy: a family-owned company with 100+ years of history behind it. Our operations span the world, offering you unique paths to growth and success.

Who says you can’t love where you work? With jobs in iconic sports arenas, stunning national parks, exciting casinos, and more, we pride ourselves on giving the world great times in great places. And whether you’re interested in restaurants, hotels, sports, gaming, operations, or retail, part-time or full-time, we’re invested in helping you achieve your career goals.

Together, we’re shaping the future of hospitality — come grow with us!

Delaware North, along with its subsidiaries, is an equal opportunity employer, showcasing job opportunities and considering applicants for all positions without regard to race, color, religion, sex, gender identity, national origin, age, disability, protected veteran status, sexual orientation, or any other legally protected status.

The opportunity

Delaware North Sportservice is hiring a seasonal Culinary Supervisor to join our team at Little Caesars Arena in Detroit, Michigan. Our ideal Culinary Supervisor is an experienced Cook who enjoys working in a collaborative and fast-paced environment, taking pride in delivering exceptional food service and culinary excellence to our guests. If you thrive on excitement and want your workday to fly by, apply now to join the game day action.

Pay

Information on our comprehensive benefits package can be found at we offer

We care about our team member's personal and professional well-being. Delaware North provides a benefits package designed to give you the comfort, safety, and security you need to deliver exceptional experiences for our guests. All team members receive benefits including:

• Weekly pay
• Training and development opportunities
• Employee discounts
• Flexible work schedules

Eligible team members may also receive: health, dental, and vision insurance, 401(k) with company match, paid vacation days and holidays, paid parental bonding leave, employee assistance program, and tuition and/or professional certification reimbursement.

What will you do?

• Supervise all team members and ensure food preparation and production meets quality standards
• Maintain the cleanliness and organization of walk-ins and freezers and ensure all kitchen equipment is in working order
• Effectively supervise proper breakdown, rotation, labeling, dating, and storage of food
• Perform opening, closing and side work duties
• Actively work to maintain food cost within parameters set by culinary leadership
• Partner with team members and restaurant managers to satisfy guests

More about you

• No college degree required
• At least two years' experience as a line cook, including supervisory experience
• Ability to effectively communicate with others and lead in a fast-paced environment
• Attentive and detailed oriented
• Basic math skills with an ability to understand, calculate and follow recipe measurements and proportions

Physical requirements

• Manual dexterity is sufficient to chop, mix, blend, whip, etc. a variety of foods and liquids
• Ability to lift and carry large pans from ovens or freezers, weighing up to 50 lbs
• Standing and walking for the entire length of the shift

Shift details

Days
Evenings
Holidays
Weekends
10hr shift
12hr shift
Events
OT as needed

Who we are

Delaware North is the food, beverage, and retail provider at Little Caesars Arena. The 20,000-seat venue opened in 2017 and is home of the NHL's Detroit Red Wings and the NBA's Detroit Pistons. We provide a full accompaniment of services, including concessions and premium dining services in a variety of innovative club areas, loge boxes, and suites.

Our business is all about people, and that includes you. At Delaware North, you're not just part of a team — you're part of a global legacy: a family-owned company with 100+ years of history behind it. Our operations span the world, offering you unique paths to growth and success.

Who says you can't love where you work? With jobs in iconic sports arenas, stunning national parks, exciting casinos, and more, we pride ourselves on giving the world great times in great places. And whether you're interested in restaurants, hotels, sports, gaming, operations, or retail, part-time or full-time, we're invested in helping you achieve your career goals.

Together, we're shaping the future of hospitality — come grow with us!

Delaware North, along with its subsidiaries, is an equal opportunity employer, showcasing job opportunities and considering applicants for all positions without regard to race, color, religion, sex, gender identity, national origin, age, disability, protected veteran status, sexual orientation, or any other legally protected status.

Onsite AI Engineer - Construction Industry Focus

New Haven, CT - Onsite 5 days per week

• Initial Assignment: Fully onsite 5 days per week at a construction site in Ft. Myers (FL) or New Haven (CT) for 1 year
• Post-Assignment: Relocation to one of the corporate offices for hybrid employment: Boston, MA (preferred), New York City (NY), New Haven (CT), Herndon (VA), West Palm Beach (FL), or Estero (FL)

Role Summary

As the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.

Responsibilities

• Workflow discovery and redesign: Lead Lean/Six Sigma workshops; map value streams; log high-impact AI agent opportunities that improve field efficiency.
• AI agent development: Build and deploy multiple production-ready AI agents using Copilot Studio, Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks. Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other enterprise data sources on the back end.
• RAG pipelines and LLMOps: Design and operate retrieval-augmented generation (RAG) pipelines with Databricks Delta Tables, Unity Catalog, and Vector Search (or Spark/Hadoop equivalents). Monitor cost, latency, adoption, and model drift.
• Cross-cloud orchestration: Blend OpenAI, Azure OpenAI, and AWS Bedrock services through secure custom connectors to maximize flexibility and adoption.
• Data integration: Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven connectors that feed RAG pipelines and AI agents.
• Change management and adoption: Train field teams, gather feedback, iterate quickly, and embed agents into SOPs. Track usage and ROI with adoption metrics and behavior-change KPIs.
• Stakeholder communication: Translate technical results into business value for leadership and clients. Contribute use cases and playbooks for the “Construction Site of the Future.”
• Compliance and hand-offs: Ensure all AI solutions meet the company’s data governance and security standards. Draft clear user stories and specs for escalation to central AI/Data Engineering teams when necessary.

Qualifications

• 4+ years in AI engineering, data science, or ML-focused software engineering.
• Proven experience building multiple AI agents in production environments.
• 2+ years of hands-on experience with LLMs, RAG pipelines, and LLMOps practices.
• Must have strong traditional software engineering background in Python

Bonus Points

• Experience in construction, manufacturing, or other process-heavy industries.
• Advanced degree in a technical field.

arena is the global top of mind brand for swimmers and all who wish to stay active and fit in and by the water. Born of our passion for sports, our innovation, and Italian design, every last detail of our products is conceived to offer the most rewarding user experience in terms of performance, style, comfort and fit, in and by the water

We are looking for a motivated Junior Warehouse Specialist to join our Operations team and support daily logistics and warehouse coordination activities. Reporting to the Operations Manager, the candidate will support the coordination and execution of logistics operations through Third-Party Logistics (3PL) providers for the relevant Business Unit. The role focuses on operational support, data accuracy, reporting, and day-to-day coordination of inbound, outbound, warehousing, and distribution activities.

Key Responsibilities

• Serve as a point of contact between our company and the external warehouse, ensuring smooth communication and timely information flow.
• Coordinate order releases, shipment scheduling, and delivery follow‑ups while monitoring shipment status and escalating any delays, shortages, or issues.
• Ensure accurate order fulfillment by supporting correct inventory movements and warehouse transactions.
• Collect, consolidate, and maintain logistics data for reporting purposes
• Assist in tracking logistics KPIs such as OTIF, lead times, inventory accuracy, and service levels.
• Conduct research and propose ideas for warehouse process improvements, contributing to efficiency and optimization initiatives.
• Participate in occasional business trips to visit the external warehouse, ensuring alignment on operations and continuous improvement.

Requirements

• Bachelor’s degree in a relevant field (e.g., Logistics, Supply Chain, Engineering, Economics, or similar).
• Strong communication and organizational skills.
• Proactive attitude and willingness to learn in a dynamic environment.
• 1-3 years of experience in logistics, warehouse operations, or supply chain is considered a plus (internship or entry-level experience acceptable).
• Knowledge of SAP or other ERP systems is an advantage.

We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need.

Workplace: Portland (Oregon)

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We’re looking for a multi-disciplinary AI Engineer to design, implement, and deploy LLM-driven agents with strong backend and front-end integration. You’ll be leading efforts across LLM agent design, prompting, fine-tuning, and MLOps, while building real-world, production-grade applications with modern web technologies.

The ideal candidate combines a strong foundation in Python and AI with practical experience in agent frameworks like LangGraph, PydanticAI, and Google ADK, as well as FastAPI and front-end development.

What you’ll do:

LLM Agents & Prompt Engineering

• Architect and implement LLM agents using frameworks like LangGraph, PydanticAI, and Google ADK.
• Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
• Integrate vector databases (e.g., FAISS, Pinecone, pgvector) and knowledge graphs (Neo4j) to support retrieval-augmented generation (RAG) and long-term chatbot memory.
• Design and maintain high-quality prompt strategies for robustness and reliability.

FastAPI, Model Context Protocol (MCP) & Backend

• Develop and maintain scalable APIs using FastAPI, supporting synchronous and asynchronous agent execution.
• Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
• Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.

Evaluation, Testing & Observability

• Build unit and behavioral tests for agents, tools, and workflows.
• Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
• Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.

Model Fine-Tuning & MLOps

• Fine-tune models using LoRA, QLoRA, or full fine-tuning pipelines.
• Integrate, deploy, and monitor models in production using cloud providers.
• Set up agent logging, observability dashboards, and recovery workflows.

Front-End & UX

• Familiar with React, TypeScript, Next.js, or similar frameworks
• Understanding of front-end and back-end integration for AI tools
• Ability to build basic dashboards or agent interfaces
• Integrate agents into interfaces
• Speak the language of UI 

What we’re looking for:

• 3+ years experience with Python in ML/AI systems and PyTorch or Tensorflow
• 1+ years experience with LLM agent development, prompt engineering, and frameworks like
• LangGraph, PydanticAI, and Google ADK.
• Experience with fine-tuning LLMs.
• Familiarity using vector stores like ChromaDB, Weaviate, or pgvector.
• Production experience with FastAPI, Docker, and MLOps
• Expert in Agentic Coding IDEs (Windsurf, Cursor or Claude Code)
• Bachelor’s or Master's degree in computer science

Nice to have:

• Open-source contributions to LLM/agent tooling
• Knowledge of async programming, websockets, and streaming APIs

What we offer:

• Competitive compensation and equity
• Comprehensive benefits including medical, dental, vision, etc.
• Unlimited and flexible PTO

Business Overview

KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary

We are seeking a Staff Software Engineer to spearhead the design and development of a next-generation AI Chat Application that will serve as an enterprise-wide assistant. This application will support a diverse range of organizational functions-including HR, Finance, Business Strategy, Ad Tech, and MarTech-empowering employees with intelligent, context-aware AI capabilities to streamline daily work.

As the Staff Software Engineer, you will guide the technical direction, mentor engineers, and partner with cross-functional teams to deliver a scalable, secure, and high-performing platform.

• 
  
• Lead Architecture & Development: Define and implement the architecture for an AI-driven chat platform leveraging Python, GCP, and AI services.
  
• Team Leadership: Mentor and guide a team of engineers, driving technical excellence, collaboration, and delivery.
  
• LLM Integration: Build and optimize solutions with LLM foundational models to support natural language understanding, contextual reasoning, and multi-domain workflows.
  
• Partner with Product Owners: Collaborate closely with product owners to assess technical feasibility, translate business needs into actionable engineering requirements, and ensure alignment with overall product strategy.
  
• Scalability & Reliability: Ensure the system is designed with enterprise-grade security, scalability, and compliance in mind.
  
• Innovation: Explore and adopt emerging practices in prompt engineering, multi-agent coordination (MCP/LLM agents), and applied AI to continuously evolve the platform.
  

• 
  
• 12+ years of software engineering experience building production-grade applications.
  
• 7+ years of experience with Java (Python experience strongly preferred).
  
• 3+ years of experience leading or managing engineering teams.
  
• Strong grasp of object-oriented programming, data structures, algorithms, and design patterns.
  
• Experience designing and building scalable APIs (REST, GraphQL, gRPC) and modular, extensible architectures.
  
• Hands-on experience with relational and NoSQL databases (e.g., MSSQL, PostgreSQL, DynamoDB).
  
• Familiarity with messaging and event-driven platforms like Kafka, Temporal for real-time systems.
  
• Strong expertise in GCP and integrating AI services with LLM foundational models.
  
• Experience with AI-powered developer tools (e.g., GitHub Copilot, Claude) to improve productivity and code quality.
  
• Strong troubleshooting, communication, and documentation skills, with a bias for secure, observable, and maintainable solutions.
  
• Comfortable working in Agile/Scrum environments with cross-functional teams.
  

• 
  
• Experience with context engineering and fine-tuning AI/LLM outputs.
  
• Familiarity with Model Context Protocol (MCP) for LLM agent orchestration.
  
• Knowledge of LLM agent frameworks for building multi-step, reasoning-driven AI systems.
  
• Experience in enterprise-grade security and compliance frameworks.
  

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email .

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience applying NLP techniques to unstructured text
• Hands-on experience working with LLMs, including:
• Prompt design and iteration
• Using pre-trained models for classification or extraction tasks
• Foundational understanding of model fine-tuning, such as:
• Fine-tuning transformer models or LLMs for classification or information extraction
• Adapting existing training scripts or examples to new datasets
• Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
• Experience working with labeled datasets and annotation outputs, including reviewing label quality
• Understanding of common ML problem types, including binary and multi-label classification
• Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
• Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)

OTHER SKILLS and ABILITIES:

• Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
• Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
• Familiarity with RAG architectures and retrieval-based grounding
• Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Introductory experience with weak supervision or noisy-label learning
• Interest in healthcare or biomedical NLP
• Curiosity about knowledge graphs, ontologies, or structured prediction
• Familiarity with secure data handling practices
• Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

EXPERIENCE:

• Bachelor’s Degree in related field
• 1–2 years of experience in machine learning, applied NLP, or software engineering
• Demonstrated some experience training or fine-tuning ML models, not just using APIs
• Ability to collaborate with senior engineers and domain experts and incorporate feedback

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

Senior Applied AI Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

Job Description

This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing the Large Language Models (LLMs). The successful candidate will work on pioneering research projects that push the boundaries of what AI can achieve, particularly in the domain of multimodal learning. You will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications.

Job Responsibilities

1. Research and Innovation:Conduct cutting-edge research in AI, machine learning, and multimodal learning, with a focus on developing Large Language Models (LLMs) that process and generate multimodal data (text, audio, video, images).Explore and implement new algorithms and methodologies to enhance the performance of LLMs in various real-world applications.

2. Model Development and Optimization:Design, build, and fine-tune LLMs and other AI models to address complex challenges in multimodal learning.Develop scalable and efficient architectures for deploying models in real-world environments.

3. Collaboration and Industry Partnerships:Collaborate closely with industry partners to align research with practical applications, ensuring that developed models and solutions address real-world needs.Participate in cross-functional teams to apply research findings to industry-related projects.

4. Publishing and Dissemination:Prepare and publish high-quality research papers in top-tier journals and present findings at leading academic conferences.Contribute to technical reports and documentation for both academic and industry audiences.

5. Mentorship and Lab Contributions:Mentor graduate and undergraduate students in the lab, guiding them in research methods, experimental design, and technical skills. Contribute to the overall success of the lab by collaborating on ongoing projects and assisting with grant proposals and reports.

Minimum Qualification

Ph.D. from an accredited institution in Computer Science, Electrical and Computer Engineering, or a related field with a focus on AI, NLP (natural language processing), machine learning, or data science.

Preferred Qualifications

Expertise in Deep Learning and LLMs(Large Language Models): Knowledge in building applications and fine-tuning models like Llama 3, Gemma, Mistral AI, and others.
Multimodal Learning Experience: Demonstrated experience in integrating and processing multiple data modalities (text, audio, video, images) using AI/ML techniques.
Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries.
Research Excellence: Proven track record of publications in high-impact journals and conferences in relevant fields.
Collaborative Mindset: Ability to work effectively in a multidisciplinary team, with strong communication and leadership skills.

Department

Work Schedule

Type of Appointment

Expected Salary

Equal Employment Opportunity Statement:

The University of Central Florida is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets. Click on UCF's Equal Opportunity Statement to view the President's Statement.

The UCF affirmative action plans for qualified individuals with disabilities and protected Veterans are available for inspection in the Office of Institutional Equity, Monday through Friday, from 9:00 a.m. to 5:00 p.m., upon request.

As a Florida public university, UCF makes all application materials and selection procedures available to the public upon request.

The University of Central Florida is proud to be a smoke-free campus and an E-Verify employer.

Position Summary.

What you'll do...

• Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems.
• Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations.

About Team:

• Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at , through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

What you'll do:

• Lead high-caliber team to build large-scale Genai systems
• Develop data science systems and tools for retail, e-commerce applications:
• Leverage LLMS to summarize and build large scale applications
• Establish cross-functional relationships to maintain win-win situation for the corporation
• Collaborate with various product stake holders and business owners to formulate and productionize a solution.

What you'll bring:

• Master's degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in analytics related field.
• Must have qualifications...
• Strong solution architecture mindset, with the ability to apply AI/ML technologies to solve complex business problems.
• Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models.
• Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment.
• Solid understanding of LLMs and Genai ecosystems, including GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools.
• Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc.,

Great to have...

• Experience with Big Data processing and feature engineering using Spark
• Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure
• Hands on experience of designing and training large DL models on GPU

Behavior qualifications:

• Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures
• Ability to clearly define problems, models and constraints from informal and flexible business requirements
• Tech leadership with teamwork spirit, quick adaptation to new environment
• Form collaborative working environment.
• Demonstrated ability to manage multiple cross-functional initiatives, balancing competing priorities and deadlines.
• Comfortable working in ambiguous, rapidly changing environments, with strong problem-solving and adaptability.
• Highly motivated to demystify emerging technologies and drive adoption across teams and stakeholders.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Recruiter Details:

Recruiter name: Ajeet Kumar

Recruiter’s email id :

JobDiva ID : # 22-63024

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.

2. We strive for excellence.

3. We thrive on diversity.

4. We celebrate collaboration.

5. We champion innovation.

6. We safeguard freedom of inquiry and expression.

7. We nurture the wellbeing of our community.

8. We act ethically.

9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About Scheller College of Business

The Scheller College of Business' Full-time MBA Program is ranked #9 among public universities by Bloomberg BusinessWeek (2021) and U.S. News & World Report (2023). Georgia Tech is one of the nation's leading research universities and consistently ranks among the top public universities in the country. Atlanta is the 9th largest metropolitan area in the U.S. and serves as a cultural and economic hub for the region.

The Scheller College of Business at the Georgia Institute of Technology in Atlanta, Georgia, seeks applications for a research-focused Postdoctoral Fellow in Information Technology Management (ITM). The initial appointment is for one year and may be renewed for up to two years, depending on satisfactory performance. The postdoc can begin as soon as January 2026 or as late as August 2026 we are happy to accommodate the timeline that works best for the selected candidate.

The role involves close collaboration with the ITM area faculty on mutually selected research projects. Two preferred areas of focus for our group are:

Studying the application of LLMs in online multisided platforms, such as the design and optimization of LLM-powered advertising mechanisms, and strategic interaction between platform participants. We are particularly interested in how LLMs influence user engagement, attention allocation, and economic outcomes on digital platforms, including auction-based advertising markets and dynamic information environments.

Developing economic frameworks for data valuation and privacy in business applications, including topics such as federated learning, copyright-preserving generative models, data marketplace pricing, and incentive-compatible privacy mechanisms. This line of research aims to connect information economics, machine learning algorithms, and market design, to address practical concerns in decentralized data governance, trustworthy machine learning, and platform strategy.

Responsibilities for this position include :

• Work on high-impact research projects, from conceptualization, data collection, and data analysis to manuscript preparation and publication.
• Teach one 3-credit course each year.
• Perform related services based on the needs of the ITM area

• A Ph.D. or equivalent degree in information systems, economics, management science, computer science, statistics, operations, or other related quantitative and/or social science domains
• The degree must completed by the position start date. For example, ABD (All but dissertation) candidates must have successfully defended their dissertation no later than July 1, 2026 for an August 1, 2026 start date.
• Strong analytical, quantitative, and communication skills.

• Knowledge in machine learning, generative models and LLM.
• Knowledge in data privacy technologies, including but not limited to federated learning, differential privacy, copyright preserving technologies in generative models.
• Knowledge in microeconomic theory, including but not limited to mechanism design, auction theory, game theory
• Prior teaching experience

Applicants should submit:

• A cover letter (please discuss research themes or topics that you'd like to pursue and any relevant research or industry experience)
• Your CV
• Names and contact information of three references as a single pdf file, and
• One published or working paper.

Review of applications will begin immediately and continue until the position is filled. To receive full consideration, please submit your application no later than 2

The selection process for the chosen candidates will include passing a pre-employment background screening, submission of transcripts, as well as other pre-employment documents once top candidates have been identified.

Questions can be sent to addressing Professor Mingxi Zhu or Professor Lizhen Xu

We welcome candidates with strong skills in areas including, but not limited to, analytical modeling; economic theory (such as game theory, mechanism design, and information design); and machine learning (including algorithm design, analysis, and generative models such as large language models). While a background in information systems is preferred, we also encourage applicants from related fields such as economics, computer science, operations research, and statistics. We are particularly interested in scholars who can integrate economic theory with computational approaches to address key challenges at the intersection of artificial intelligence, digital markets, and information technologies.

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Applicants with the need for an accommodation: Georgia Tech is committed to ensuring that its online applicant process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation due to a disability to search for a job opening or submit an application, please call us at .

This line is designed to assist disabled job seekers whose disability prevents them from being able to apply online. Please do not use this number for non-disability-related inquiries. Only messages left for this purpose will be considered. A response to your request may take up to two business days.

Please note: Messages left for other purposes, such as following up on an application or non-disability-related technical issues, will not receive a response. Please review our FAQs for assistance with common questions.

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide.

The AI/ML organization at Takeda is building a team to transform how medicines are discovered. Our goal is to apply AI and machine learning across the entire drug discovery process, not just isolated steps, but as an integrated approach from target identification through development. This requires discernment: knowing which models and methods fit each problem, and the creativity to adapt when they don't. We work with foundational models, generative approaches, and autonomous systems, but the tools only matter when paired with people who understand the science deeply enough to use them well. Our team brings together computational scientists, biologists, engineers, and drug hunters. If you want to contribute your expertise to hard problems alongside colleagues with different perspectives and help shape how AI delivers real impact in drug discovery, we'd like to hear from you.

Position Overview:

We are seeking Scientists to develop and deploy foundational AI models that will transform drug discovery across Takeda. As part of the AI/ML Foundation team, you will build large-scale models including large language models (LLMs), diffusion models, and multimodal architectures that integrate diverse data types—omics, biomedical imaging, protein 3D structures, and molecular representations. This role requires deep expertise in modern deep learning architectures combined with foundational knowledge of biology, chemistry, and disease biology to ensure models are scientifically grounded and impactful. You will train models from scratch, fine-tune pre-trained models for Takeda-specific applications, and deploy foundation model capabilities that accelerate discovery across all therapeutic platforms.

Accountabilities:

• Develop and train foundational AI models (LLMs, diffusion models, flow-matching architectures) for drug discovery applications, with capability to pre-train on large-scale scientific corpora and molecular datasets.
• Fine-tune and adapt pre-trained foundation models (protein language models, chemical LLMs, vision transformers) for Takeda-specific applications in target identification, disease modeling, and molecular design and discovery.
• Build multimodal foundation models integrating diverse data types including omics (genomics, transcriptomics, proteomics), biomedical imaging, protein 3D structures, and molecular representations.
• Apply and extend state-of-the-art approaches including graph neural networks, transformer-based protein language models, and multimodal learning frameworks.
• Apply domain expertise in biology, chemistry, and/or disease biology to guide model architecture decisions, training data curation, and evaluation strategies ensuring scientific validity.
• Implement state-of-the-art generative architectures (diffusion, score-based models, autoregressive transformers) for molecular generation, protein design, and multi-objective optimization.
• Collaborate with computational scientists across domains to deploy foundation models that address diverse discovery needs across small molecules, biologics, and emerging modalities.
• Stay current with advances in foundation models, generative AI, and multimodal learning; contribute to internal knowledge sharing and external publications.

Education & Requirements:

• PhD in Computer Science, Machine Learning, Computational Biology, Bioinformatics, or related field or MS with 6+ years relevant experience, or BS with 8+ years relevant experience
• Deep expertise in modern deep learning architectures including transformers, diffusion models, and/or generative models.
• Strong experience training large-scale models with proficiency in PyTorch and distributed training frameworks.
• Foundational knowledge of biology, chemistry, or disease biology sufficient to guide scientifically meaningful model development.
• Experience with at least one of: protein language models (ESM, ProtTrans), molecular generative models, or biomedical vision models.
• Experience with cloud computing (AWS, GCP) and GPU cluster training at scale.

Preferred:

• Experience building or fine-tuning foundation models in pharmaceutical or life sciences settings.
• Expertise in multimodal learning integrating text, images, and structured molecular data.
• Experience with omics data analysis (genomics, transcriptomics, proteomics) and knowledge graph
• Familiarity with protein structure prediction and 3D molecular representations.
• Publications in top-tier ML venues (NeurIPS, ICML, ICLR) or computational biology journals.
• Experience with model compression, efficient inference, or production deployment of large models.
• Strong background in large-scale data integration and multimodal modeling for biological systems.
• Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn); familiarity with Unix tools.
• Excellent collaboration and communication skills.

ADDITIONAL INFORMATION

• The position will be based in Cambridge, MA

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt

Description

Seeking an AI/ML Operations professional for the following role -

Overall Responsibilities

• Manage operational workflows for model deployments, updates, and versioning across GCP, Azure, and AWS.
• Monitor model performance metrics: latency, throughput, error rates, token usage, and inference quality
• Track model drift, accuracy degradation, and performance anomalies - escalating to engineering as needed.
• Support knowledge base operations including vector embedding pipeline health, chunk quality, and refresh cycles in Vertex AI.
• Maintain model inventory and documentation across multi-cloud environments.
• Coordinate model evaluation cycles with Responsible AI and Core Engineering teams

Agent & MCP Server Operations

• Monitor AI agent health, performance, and reliability (AutoGen-based agents, MCP servers)
• Track agent execution metrics: task completion rates, tool call success/failure, latency, and error patterns
• Support agent deployment and configuration management workflows
• Document agent behaviors, known issues, and operational runbooks
• Coordinate with Core Engineering on agent updates, testing, and rollouts
• Monitor MCP server availability, connection health, and integration status

FinOps & Cost Management

• Track and analyze AI/ML cloud spend across GCP (Vertex AI), Azure (OpenAI), and AWS (Bedrock)
• Build cost dashboards with breakdowns by model, application team, use case, and environment.
• Monitor token consumption, inference costs, and embedding/storage costs.
• Identify cost optimization opportunities - model selection, caching, batching, rightsizing.
• Provide cost allocation reporting for chargeback/showback to consuming application teams.
• Forecast spend trends and flag budget anomalies.
• Partner with Infrastructure and Finance teams on AI cost governance.

Monitoring, Dashboarding & Reporting

• Build and maintain dashboards for platform performance, model health, agent metrics, and operational KPIs.
• Create executive and stakeholder reports on platform adoption, usage trends, and cost allocation.
• Develop Responsible AI dashboards tracking hallucination rates, accuracy metrics, guardrail triggers, and safety incidents.
• Monitor APIGEE gateway traffic patterns and API consumption trends.
• Provide regular reporting to product management on use case performance.

Release Operations Support

• Support release management processes with pre/post-deployment validation checks.
• Track release health metrics for models, agents, and platform components.
• Maintain release documentation, runbooks, and operational playbooks.
• Coordinate with QA, Performance Engineering, and Infrastructure teams during releases.

AI Operations

• Monitor guardrail effectiveness and flag anomalies to the Responsible AI team.
• Track and report on hallucination detection, content safety triggers, and accuracy trends.
• Support LLM Red Teaming efforts by collecting and organizing evaluation data.
• Maintain audit logs and compliance documentation for AI governance.

Cross-Functional Coordination

• Serve as operational point of contact for application teams consuming DxT AI APIs.
• Coordinate with Corporate Security on audit requests and compliance reporting.
• Partner with Infrastructure team on capacity tracking and resource utilization.
• Support Performance Engineering with load test analysis and results documentation.

Basic Qualifications

• 2-4 years in an Ops, Analytics, or Technical Operations role (MLOps, AIOps, DataOps, Platform Ops, or similar)
• Understanding of AI/ML concepts: models, inference, embeddings, vector databases, LLMs, tokens, prompts.
• Experience with cloud cost management and FinOps - tracking, analyzing, and optimizing cloud spend.
• Strong proficiency with dashboarding and visualization tools (Looker, Tableau, Grafana, or similar)
• Working knowledge of GCP (required); familiarity with Azure and AWS a plus.
• Comfortable with SQL and basic Python for data analysis and scripting.
• Experience with monitoring and observability platforms (Datadog, Prometheus/Grafana, Cloud Monitoring, or similar)
• Understanding of APIs and API gateways - ability to read logs, trace requests, analyze traffic.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills - able to translate technical metrics into stakeholder insights.
• College degree in Computer Science, BIS, MIS, EE, ME or similar is required.

Preferred Qualifications

• Hands-on experience with LLM platforms: Vertex AI, Azure OpenAI, AWS Bedrock
• Familiarity with AI agents and agentic architectures (AutoGen, LangChain, or similar)
• Exposure to MCP (Model Context Protocol) or agent-tool integration patterns.
• Experience with vector databases and RAG (Retrieval-Augmented Generation) operations.
• Understanding of MLOps lifecycle: model registry, versioning, deployment patterns, A/B testing
• Experience with APIGEE or similar API management platforms.
• Familiarity with Responsible AI metrics - hallucination, bias, content safety, guardrails.
• FinOps certification or formal cloud cost management experience.
• Experience supporting enterprise platform teams with multiple consuming applications.
• Familiarity with ML pipeline tools (Kubeflow, MLflow, Vertex AI Pipelines)
• Exposure to prompt management and evaluation frameworks.
• ITIL or operational process framework experience.
• Experience creating runbooks and operational documentation.

Education

• BE/BS in Computer Science, Business Information Systems, Management Information Systems, Electrical Engineering, Mechanical Engineering or similar

The estimated pay range for this position is USD $70.00/hr - USD $77.50/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

The Client Experience Director is a senior, client-centric leader with a strong background in media, marketing and integrated communications. This role is responsible for owning senior client relationships, guiding strategic conversations, and ensuring seamless delivery of complex, multi-channel media and cultural campaigns for Dr. Martens.

The role partners closely with Arena UK leadership and cross-functional teams across planning, investment, analytics, and activation. A strong understanding of media disciplines is essential, alongside exceptional communication, organisational and leadership skills.

This position requires someone who can operate confidently at a global level, connect the dots across markets TAKING Global strategy through to local nuance, and proactively identify opportunities for growth, innovation and added value for both client and agency.

We are looking for someone with:

• Extensive experience in client leadership, account management or client experience roles within media or integrated agencies.

• Strong understanding of media planning, investment, analytics and activation across AV, digital, social, OOH and partnerships.

• Proven ability to manage senior client relationships and complex, multi-market accounts.

• Exceptional communication, organisational and problem-solving skills.

• A strategic, culturally curious mindset with a passion for brands, creativity and innovation.

• Experience working across global or regional client structures is highly advantageous.

Job Description

The position requires someone who is passionate and wants to be at the heart of culture. We need an enthusiastic and pro-active candidate who ideally has previous retail experience, as they will be overseeing Dr Martens across the US and Canada. The role will be working across all media channels, including AV, Social, OOH and media partnerships. Familiarity with insight tools and media planning tools would also be beneficial. There is also a big focus on Search and Affiliates and we are looking for a candidate with experience across these two disciplines, who is as confident having conversations around brand campaign launches, as they are with performance planning. In practice this looks like having a strong working knowledge of the channels and landscape, key developments and being able to confidently and competently liaise with clients and activation specialists.

Due to the nature of our agency and business, the candidate must have brilliant inter-personal skills and be able to multi-task to an exceptional level, with excellent organisational skills. Due to the nature of the role, sitting with the Havas US team, but working into the Arena UK team you will be able to operate autonomously, whilst being connective and collaborative and a team-player. For this specific role you will work with a US based strategist and the wider team of 10 in the UK and always be cognisant of the high level of service to our clients that is expected. The candidate should also be a creative thinker – someone who is willing to put forward smart, innovative and creative ideas to help address our client’s challenges and able to work in partnership with the UK based team to seemingly bring localised excellence to life. Experience working asynchronously, being able to self-start and working with international/ hybrid teams will be beneficial.

Day to day responsibilities

Client Leadership & Strategy

Serve as a senior, trusted client partner for Dr. Martens, building and maintaining strong relationships based on expertise, confidence and credibility.

• Act as the primary client experience lead in New York, while aligning closely with Arena UK and global stakeholders.

• Understand client business objectives deeply and provide strategic guidance that aligns media and cultural activity to brand and commercial goals.

• Demonstrate strong pattern recognition and strategic connectivity, proactively identifying opportunities, risks and solutions across markets and disciplines.

• Stay close to cultural, category and industry headlines, ensuring relevant POVs, insights and competitive intelligence are shared with clients.

Cross Functional Leadership & Delivery

• Ensure internal teams are aligned on client priorities, scopes and expectations, adjusting support and resources as required.

• Lead and oversee the delivery of high-volume, complex media and media technology projects across multiple channels and markets.

• Facilitate seamless integration between Media, Creative, Culture, and specialist teams across the Havas Village.

• Champion best-in-class processes while maintaining flexibility in a fast-paced, dynamic environment.

• Act as a bridge between Arena UK, US teams, and partner agencies to ensure consistency and quality of output.

Operational Excellence

• Own and oversee timelines, SLAs and scopes of work, ensuring projects are delivered on time and to the highest standard.

• Lead internal status meetings and contribute to senior-level client status reporting and presentations.

• Ensure quality control across all outputs, from planning through activation and reporting.

• Support the development and articulation of clear processes, documentation and ways of working across teams.

• Manage work relative to agreed scope and proactively flag opportunities for growth or risk mitigation.

Team & Agency Leadership

• Foster strong collaboration, knowledge sharing and communication across teams and geographies.

• Provide leadership, guidance and mentorship to account and client experience team members.

• Be a team-player who encourages a culture of curiosity, creativity and proactivity—particularly around culture, entertainment and innovation.

• Represent Arena and Havas at relevant industry, cultural and client events.

• Opportunities for travel to Portland, LA and London.

155K