Codashop, ML Jobs in Usa

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

CarMax, the way your career should be!

Essential Responsibilities:

• Identify new opportunities for ML and AI solutions and build and cultivate relationships with leaders across the organization to foster those partnerships
• Influence partners and stakeholders in Data Science and other teams across the organization to prioritize objectives and provide a comprehensive approach to solution recommendations that includes ROI, time to market, scalability as well as alternative recommendations
• Communicate effectively with senior leadership to share progress, raise any roadblocks or impediments to delivery, and also spread awareness of your teams’ achievements
• Create the strategic roadmap that will guide the direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization
• Empower your direct reports to lead their teams by providing them with the resources, training, feedback, and a sounding-board to be successful in their roles
• Develop people through effective communication and ongoing feedback
• Manage the budget of your area including budget planning and estimating costs of future development and tracking spend on an ongoing basis
• Create an inclusive and engaging culture for a team of remote and hybrid engineers with varying levels of experience
• Work through others to deliver resilient and scalable technology solutions that solve for complex business problems
• Help drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and Technology
• Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be
• Quickly learning the CarMax technology standards and norms and ensuring that your teams follow best practices for change management, security, etc.
• This role will have on-call expectations to be available for major incidents and issues that affect your team’s applications.

Minimum Qualifications:

• Bachelor’s Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Optional for sponsorship needs: Master’s Degree in Computer Science, Computer Engineering, or relevant technical field
• 10+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering
• 5+ years’ experience managing direct reports
• 5+ years’ experience with microservices software architecture
• 5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
• 5+ years’ experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
• Demonstrated ability to provide vision for the Cloud Engineering, Software Engineering, and Machine-Learning spaces and inspire teams towards the future
• Proven ability to strategically prioritize by balancing business delivery and value generating work with technical debt and engineering excellence
• Proficient in developing in Python
• Experience with scripting languages such as shell scripts
• Experience in DevOps practices, testing frameworks, and CI/CD
• Experience with Model Development and Deployment (MLFlow, Azure ML)
• Experience with container orchestration (Kubernetes, Docker)
• Experience communicating and working across functions to drive organization-wide solutions

Preferred Qualifications:

• Previous experience deploying large-scale applications on Azure
• Familiarity with MLOps and industry-standard machine-learning Python libraries
• Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
• Advanced AI/ML specializations (reinforcement learning, deep learning, NLP)
• Proficient in an object-oriented programming language (i.e. C#, Java)
• Experience using large language models (LLMs) with semantic search frameworks for chatbot implementations

Software Specific Qualifications:

• Experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
• Proficiency developing and debugging in Python
• Experience with Model Development and Deployment (MLFlow, Azure ML)
• Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
• Experience with scripting languages such as shell scripts
• Experience in DevOps practices, testing frameworks, and CI/CD
• Proficiency in version control systems (Git) for AI/ML model versioning
• Experience with container orchestration (Kubernetes, Docker)

AI Data & Python Tools Engineer

We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.

Responsibilities:

• Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks
• Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
• Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
• Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
• Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle

Software Engineering & AI/ML Data, Tools Development

• 3+ years of Python Development with a background in back end services and data processing
• Exposure to AI/ML algorithms
• Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Understanding of LLMs, vector databases, and retrieval systems
• Experience with Model Context Protocol (MCP) integration and server development

Big Data & Cloud Infrastructure

• Knowledge of building and deploying cloud based applications
• Hands-on experience with cloud data platforms (AWS/GCP/Azure)
• Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
• Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
• Knowledge of containerization (Docker/Kubernetes) and infrastructure as code

*Preferred Experience

• Experience building web applications with modern frameworks (React, Vue, or Angular)
• API development and integration experience
• Basic UX/UI design sensibilities for internal tooling
• Experience with real-time data processing and analytics
• Background in building developer tools or internal platforms
• Familiarity with AI/ML operations (MLOps) practices (Experience using airflow)
• Experience building MCP servers and integrating with AI assistants
• Knowledge of structured data exchange protocols and API design for AI systems.

Type: Full Time

Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)

*Relocation assistance can be offered based on individual needs and circumstances*

Staff Data Scientist

Direct Hire

Onsite @ 805 Se Moberly Ln, Bentonville, AR 72712

Position Summary.

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, U.S. offers an extensive selection that our customers value, whether they shop online at ecommerce website, 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 the design, development, testing, and global deployment of large-scale time series forecasting models (including Regression models and state of the art time series specific models for example N-BEAST, PatchTST) to support complex retail and e-commerce hierarchies. Introduce causal modeling approaches to conduct impact analysis for future forecast.
• Continuously enhance forecasting strategies by incorporating advanced machine learning architectures, including RNNs (sequence modeling), CNNs (temporal feature extraction), and Attention-based mechanisms to improve accuracy, scalability, and robustness in time series forecasting.
• Advance causal modeling frameworks to quantify event impacts and integrate causal insights into forward-looking forecasts.
• Build and maintain experimentation pipelines (A/B testing, quasi-experiments, multi-armed bandits) for evaluating causal impacts of interventions.
• Mentor junior scientists, review research and production code, and ensure reproducibility and scalability in pipelines.
• Collaborate with engineering to implement forecasting + optimization systems in production (Airflow, Astronomer, Spark/Ray).
• Act as technical lead on multiple projects, balancing research rigor with business delivery.

What you’ll bring:

• Strong foundation in Time Series Forecasting, Causal Inference, Statistical Analysis, and advanced Machine Learning methods
• Hands-on experience with a wide range of ML techniques, with a deep understanding of their advantages and limitations across different scenarios.
• Ability to integrate statistical expertise with machine learning methods to maximize the value and interpretability of ML solutions.
• Proficiency in Python, SQL, PyTorch, Spark/Ray, and stats/econometrics libraries.
• Experience deploying ML systems at scale on cloud platforms (GCP/Azure).

Great to have:

• Publications and open-source contributions spanning the full spectrum of modern Machine Learning, from Statistical Learning (e.g., Bayesian modeling, causal inference, high-dimensional statistical methods) to Deep Learning (e.g., convolutional and transformer-based architectures) and Reinforcement Learning (e.g., dynamic programming, policy gradient methods).
• Exposure to ML observability: drift detection, retraining triggers, and causality-informed monitoring.
• Background in retail, e-commerce, or operations analytics.

Benefits:

Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Minimum Qualifications.

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field

Preferred Qualifications.

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following accessibility standards and guidelines for supporting an inclusive culture.

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, color, religion, sex, sexual orientation, gender identity,

national origin, disability, or status as a protected veteran.

Recruiter Details:

Name: Adil Saifi

Email:

Internal Id: 25-53396

Kadence is partnered with a bio x AI company in SF, looking for an Applied Research Scientist, for an on-site, full-time position.

The company is a Seed funded biotech operating at the intersection of molecular biology and machine learning.

What This Team Does:

This group sits between pure theory and production.

They:

• Understand the mathematical frameworks from the fundamental research team
• Implement them into high-performance code
• Optimize models for GPUs
• Scale pretraining
• Improve efficiency of inference and training
• Build the infrastructure for new architectures

They do not focus on biological interpretation, this is a strictly ML role.

Key Responsibilities:

• Implement new architectures from the theory team
• Optimize model code for high-performance training
• Handle model scaling, distributed training, and inference efficiency
• Work closely with the wet lab to ensure tight feedback loops
• Contribute to open-source foundation models and publications

Qualifications:

• Degree in CS, ML, Applied Math, or related
• Strong fundamentals in ML theory, optimization, and deep learning
• Experience building or training models from scratch (not just fine-tuning)
• Experience with PyTorch/JAX
• Strong high-performance computing background
• GitHub showing not mostly Python (C/C++/Julia/etc. is a plus)
• Research pedigree (top schools or top ML teams)

Who Thrives Here:

People who like writing elegant, hardware-aware code, scaling models, and working on fundamental research problems, but with implementation responsibility.

Job Title: MLOps Engineer (Dataiku and AWS SageMaker)

Location: Reading, Pennsylvania (Onsite – 5 Days/Week at Client Location)

Employment Type: Contract / Long-Term

Role Overview

We are seeking a hands-on MLOps Engineer with strong experience in Dataiku and AWS SageMaker to design, deploy, and operate scalable machine learning and generative AI solutions. The ideal candidate will have experience building agentic AI systems, RAG pipelines, and production-grade ML infrastructure on AWS while ensuring reliability, governance, and performance at scale.

This role requires deep expertise in LLMOps, CI/CD automation, containerization, cloud infrastructure, and observability frameworks to support enterprise AI workloads.

Key Responsibilities

Agentic AI System Design

• Design and implement multi-agent architectures including planner, researcher, retriever, executor, and reviewer agents.
• Define agent collaboration policies, memory strategies (short/long-term), and tool orchestration frameworks.
• Implement supervisor policies and guardrails to ensure safe agent collaboration.

Retrieval-Augmented Generation (RAG) Development

• Build high-quality RAG pipelines including ingestion, chunking, embeddings, indexing, and retrieval workflows.
• Implement evaluation frameworks for precision, recall, groundedness, and hallucination detection.
• Ensure proper citation mechanisms and guardrails for enterprise-grade AI applications.

AWS-Based AI/ML Production Deployment

• Deploy and manage AI solutions using AWS services including:
• Amazon Bedrock (Agents, Knowledge Bases, Flows)
• AWS Lambda
• API Gateway
• S3
• DynamoDB
• OpenSearch / Vector Databases
• Step Functions
• CloudWatch
• Enable scalable, secure, and fault-tolerant AI systems in production environments.

MLOps / LLMOps Implementation

• Build automated CI/CD pipelines using GitOps practices.
• Implement containerization using Docker and Kubernetes.
• Manage Infrastructure as Code (IaC) and deployment pipelines.
• Implement secure secrets management, IAM policies, blue-green deployments, and rollback mechanisms.

Observability and Model Evaluation

• Instrument telemetry including traces, token usage, cost tracking, and latency monitoring.
• Build dashboards using Grafana or CloudWatch for operational visibility.
• Implement human-in-the-loop review systems, A/B testing, and continuous evaluation pipelines.

Reliability and Scalability

• Implement caching strategies, queue management, rate limiting, and retry/backoff mechanisms.
• Ensure system reliability through idempotency patterns and drift detection mechanisms.
• Monitor and optimize system performance under scale.

Collaboration and Communication

• Work closely with DevOps, Data Engineering, Infrastructure, and Architecture teams.
• Document system architectures, SLIs/SLOs, and operational runbooks.
• Communicate technical updates and insights to both technical and non-technical stakeholders.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
• Proven experience building production-grade MLOps pipelines and AI systems.
• Hands-on experience with Dataiku and AWS SageMaker.
• Experience designing and deploying RAG pipelines and agent-based AI architectures.
• Strong expertise in cloud platforms for AI/ML workloads (AWS preferred).
• Solid experience with CI/CD pipelines, Git, Docker, and Kubernetes.
• Understanding of model governance, data governance, and AI lifecycle management.
• Excellent communication, problem-solving, and collaboration skills.

Preferred / Nice to Have Skills

• Experience with AWS Bedrock (Agents, Knowledge Bases, Flows).
• Experience with OpenSearch or other vector databases.
• Familiarity with LangGraph, CrewAI, Semantic Kernel, or AutoGen frameworks.
• Experience with Step Functions, Lambda, API Gateway, DynamoDB, and S3.
• Knowledge of evaluation frameworks for LLMs including groundedness and hallucination detection.
• Dataiku platform expertise including governance, approvals, artifacts, and MLOps deployment flows.

Certifications (Nice to Have)

• Dataiku ML Practitioner
• Dataiku Advanced Designer
• Dataiku MLOps Practitioner

Senior Director, Consulting & Delivery

Quantum Rise is a rapidly scaling AI consulting and product development start-up focused on helping high growth organizations adopt AI and win their industry. Our offerings range from strategy and roadmap engagements through to full AI/ML product development. We are expanding our client delivery team and are looking for a talented and experienced consulting leader to join as a Senior Director and be the face of our most strategic client engagements. We operate in line with 3 guiding principles that we call Consulting 2.0:

• Profit, not PowerPoints.... while we create PowerPoints (strategy & roadmaps) our primary objective is to help get our clients build and deploy AI solutions that significantly impact profit (top line revenue and bottom-line costs)
• Product, not projects... the AI products we deploy should always on, continuously measured, and iteratively improved via the product backlog
• Open, not black box... we will take our clients along the journey helping them understand how it works and the fundamentals that influence AI product success like process/end-use experience, data strategy, governance, and change management.

Position Summary

A Senior Director at Quantum Rise plays a pivotal role in understanding where our clients are on their AI journey, translates their challenge to our offerings, and successfully executes across the entire engagement lifecycle (pre-sales, engagement delivery & execution, upsell/expansion). Given our start-up nature, we look for this Senior Director to be a key contributor to identify and own internal initiatives and business development activities to fuel our scale and growth. As we respond to the market and our clients, we'll look for the Senior Director to additionally influence and contribute to new offerings and corresponding sales engineering. This role is designed for an exceptional, self-starting consulting leader with a background in business and technology advisory and implementation consulting with a solid understanding of strategy, data, and AI/ML.

The ideal candidate will possess an entrepreneurial spirit, ready to tackle diverse challenges, block and tackle, and drive initiatives that propel the Quantum Rise forward.

Key Responsibilities

• Leverage advanced AI/ML knowledge and expertise to lead strategic assessments, define data strategies, and create actionable roadmaps that drive measurable business value for clients.
• Employ agile methodologies to plan, execute, and iterate on client engagements, ensuring efficiency, flexibility, and ongoing quality enhancements.
• Develop and implement change management initiatives, including comprehensive training programs, to facilitate successful adoption of new processes and technologies.
• Design and deploy COEs and governance frameworks to maintain consistent best practices, foster innovation, and ensure alignment with client and organizational goals.
• Build and maintain strong relationships with key stakeholders, manage executive relationships & communications, develop influential strategies, recommendations, and long-term value propositions.
• Guide cross-functional teams and promote a culture of collaboration, ensuring strategic thinking and high-impact outcomes that meet or exceed client expectations.
• Develop data-driven business cases, integrating both quantitative and qualitative metrics, to articulate clear ROI and demonstrate the strategic and financial value of proposed AI solutions.
• Collaborate with internal consulting & engineering teams to scope, design, and propose tailored solutions that address client needs and showcase Quantum Rise's capabilities.
• Lead the creation and continuous enhancement of hybrid service + AI product offerings, ensuring alignment with market trends and Quantum Rise's strategic vision.
• Cultivate a high-performing team through effective mentorship, professional development, and talent management initiatives.
• Drive efficiency and quality by establishing repeatable frameworks, processes, and tools that optimize internal operations and service delivery.
• Represent Quantum Rise at industry events, conferences, and other forums, sharing insights and positioning the organization as a leader in AI/ML and strategic consulting.
• Propose and implement initiatives that enhance productivity, quality, and client satisfaction, fostering a culture of continuous improvement and innovation across the organization.

Qualifications

• Bachelor's degree in Computer Science, Data & Analytics, Informatics, Engineering, Business Management or related field.
• A Master's degree is preferred, specifically an MBA.
• 12+ years of experience in consulting, with a proven track record of leading strategic advisory engagements, influencing the transition into delivery, successful project management, delivery, and continual transformation and renewal.
• Experience identifying gaps and making impactful contributions to capability / offering development.
• Experience in data science projects, demonstrating an ability to understand and leverage data insights in business contexts.
• Natural gravitation to augment one's way of working with LLMs and exceptional prompt engineering.
• Exceptional project management skills, with experience in applying agile methodologies and tools.
• Entrepreneurial mindset, with the ability to identify opportunities for improvement and innovation within projects and processes.
• Strong leadership, communication, and collaboration skills, capable of motivating teams and working effectively across all levels of the organization.
• This role is for a dynamic individual who thrives in a startup atmosphere, ready to apply their consulting and leadership expertise and entrepreneurial zeal to help Quantum Rise grow and succeed.

Employee Benefits

As an employee you will be eligible for the following benefit suite, subject to and in accordance with the applicable plan or policy requirements:

• Selection of health, vision, and dental PPO insurance, provided by Blue Cross Blue Shield of Illinois; eligible for the first day of employment.
• Variable Compensation: Eligible for annual performance bonuses and equity options. Bonuses reflect individual and company achievements, while equity aligns with long-term shareholder value, subject to vesting.
• Retirement Plan: We offer a retirement 401(k) plan with a yearly discretionary match.
• Flex benefits include FSA, DCA, Commuter, Learning and Development Stipends.
• Time Off: Unlimited PTO; paid holidays; paid sick time.
• Flexible working schedule.

Technical Project Manager – AI & Innovation

Overview

Our client is seeking a Technical Project Manager with a strong background in Artificial Intelligence to lead and support AI-driven initiatives. This role blends hands-on technical project leadership with forward-looking research and innovation. The ideal candidate will not only manage AI development projects but also stay ahead of emerging trends, tools, and best practices to help drive strategic advantage across the organization.

This is a highly collaborative role working closely with engineering, data science, and business stakeholders.

Key Responsibilities

AI Project Leadership

• Lead end-to-end delivery of AI/ML initiatives, ensuring scope, timeline, and quality objectives are met
• Partner with developers, data scientists, and architects to translate business needs into technical execution plans
• Manage project roadmaps, sprint planning, risk mitigation, and stakeholder communication
• Track KPIs, project milestones, and technical dependencies

Technical & Strategic Contribution

• Leverage technical expertise to facilitate architectural discussions and technical decision-making
• Support prioritization of AI use cases and proof-of-concept initiatives
• Ensure best practices in AI development, governance, and responsible AI deployment

Research & Innovation (Trend Leadership)

• Monitor industry trends in AI/ML, including LLMs, generative AI, automation, and emerging frameworks
• Research and evaluate new tools, platforms, and methodologies
• Share insights with leadership and development teams to inform roadmap planning
• Recommend innovative approaches that improve efficiency, scalability, and competitive positioning

Required Qualifications

• 5+ years of Project Management experience, with direct exposure to AI/ML initiatives
• Strong technical background (Engineering, Computer Science, Data Science, or similar)
• Experience working alongside software engineers and AI/ML developers
• Solid understanding of AI concepts such as machine learning, NLP, LLMs, model lifecycle management, and data pipelines
• Experience with Agile/Scrum methodologies
• Strong communication and stakeholder management skills

Preferred Qualifications

• Experience managing LLM or Generative AI projects
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Understanding of MLOps and AI governance frameworks
• Technical certifications or PMP/Agile certifications

What Success Looks Like

• AI initiatives delivered on time and aligned to business objectives
• Development teams equipped with modern best practices and emerging AI capabilities
• Organization positioned to proactively adopt innovative AI solutions

This is a W2 project only. Please - NO C2C ASSISTANCE AT THIS TIME

We are looking for an experience business analyst who has supported Anaplan migration projects in the pharmaceutical or bioscience space.

The ideal candidate will have a strong understanding of FP&A systems/accounting.

Top 3 Must Have Skill Sets:

1. Strong Communication

2. Clinical Trial or R&D FP&A/Accounting background

3. Confluence

4. System Migration Experience (FP&A Systems)

• History of experience with transformation engagements, from legacy system to new FP&A system.
• Experience with project documentation and training, along with familiarity in Agile methodologies - writing user stories, defining acceptance criteria, developing test cases etc. enabling requirements and design elements providing additional forecasting capabilities.
• Must have Confluence experience, have experience working in Jira and backlog refinement, created training materials, business administrative guides, system analysis content, and knowledge documentation.
• Must have worked in Jira, and Zephyr, in creating and generating test cases.
• Experience with Analog Data, and working and supporting financial teams, or initiatives.
• Scenario Modeling, Polaris exp great to have and strong tech background.
• Anaplan experience is important.
• Must have the experience and be able to work across two workstreams.
• Must have the experience and be able to work across two workstreams.
• AI/ML forecasting experience a plus.

Tools: Anaplan, MS Office 365 (Word, Excel, etc.), MS Teams, Confluence, Jira, Smartsheet, PowerPoint.

Initial duration – thru the end of the 2026.

Location: Tampa Bay Preferred - EST Time zone – majority of accounting team in EST.

Possible Extension: Yes

Job Title: Lead Business Systems Analyst – FP&A Transformation

Location: Florida (preferred) — Tampa office hybrid; or Eastern Time Zone (remote)

Job Description:

We are seeking an experienced Lead Business Systems Analyst to drive the transformation of two FP&A workstreams from a legacy system to a fully modernized platform. This critical leadership role demands deep expertise in business systems analysis, strong domain knowledge of FP&A processes, and experience with key tools like Zephyr, JIRA, and Polaris. Familiarity with AI/ML forecasting technologies will be a significant advantage.

Key Responsibilities:

• Lead end-to-end analysis, documentation, and support for transitioning two FP&A workstreams from legacy systems to a modernized solution.
• Partner closely with finance, technology, and operations teams to gather requirements, define system specifications, and validate deliverables.
• Utilize Zephyr for test case management and defect tracking throughout the testing lifecycle.
• Manage user stories, sprint planning, and backlog in JIRA to ensure agile delivery and timely resolution of issues.
• Guide the implementation and integration of Polaris solutions within the FP&A modernization project.
• Collaborate with data scientists and forecast modelers to incorporate AI/ML forecasting methodologies into FP&A processes.
• Coordinate with global teams in Asia and Europe, accommodating meeting schedules primarily during Eastern Time zone business hours.
• Facilitate communication and collaboration across cross-functional and geographically dispersed teams.
• Support change management, user training, and documentation related to the migration and modernization efforts.

Qualifications:

• Proven experience as a Business Systems Analyst supporting FP&A transformations or similar finance technology initiatives.
• Hands-on experience with Zephyr, JIRA, and Polaris tools.
• Practical knowledge or exposure to AI/ML forecasting techniques and applications.
• Excellent analytical, problem-solving, and stakeholder management skills.
• Strong communication skills with the ability to articulate complex technical and business concepts.
• Able to work collaboratively in a hybrid office environment in Tampa, Florida, or remotely within the Eastern Time Zone.
• Comfortable with flexible scheduling to collaborate with global teams across multiple time zones.

Preferred:

• Residence in Florida with willingness to spend shared time in the Tampa office.
• Familiarity with finance and forecasting business processes in large enterprises.

• 100% remote based in the US
• Help shape the AI transformation of public sector services
• Lead initiatives that ship real impact, not just prototypes
• Greenfield development on a proven, profitable platform
• Comprehensive Health, Vision, Dental coverage for individuals and families

• Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search
• Design prompt strategies and agents to translate parsed PDF data into form component schemas
• Fine-tune LLMs for structured output generation with low-latency performance in mind
• Lead the development of an RLHF loop that incorporates builder UI feedback and audit data
• Help architect systems that blend traditional APIs and probabilistic inference reliably
• Work alongside full-stack and platform engineers to get it all running in production
• Stay plugged into the latest model capabilities, and make smart calls on what to adopt

• Azure AI Studio, Azure OpenAI, GPT-4o
• Python (for agents, functions, orchestration), .NET 8 (for integration layers)
• Azure AI Search, CosmosDB, MSSQL
• Kubernetes (AKS), Azure Blob, Octopus for CI/CD
• for structured PDF parsing

• 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering
• Strong Python skills and familiarity with production-grade ML pipelines
• Experience designing and tuning RAG workflows with hybrid search
• Familiarity with RLHF and fine-tuning on structured JSON output
• Solid grasp of system-level thinking—how to bring ML into product environments cleanly

• You’ve shipped a working vector search + RAG pipeline integrated into our form builder
• You’ve scoped and kicked off our first LLM fine-tuning cycle
• We’re collecting human feedback to improve model accuracy
• You’ve helped define the roadmap for AI integrations across the platform

Tuesday - Friday 9pm-7am

Education: Bachelor's degree
Licensure:
Experience:
a. up to 3 years acceptable clinical laboratory experience as a certified MLS/MT or equivalent or certification eligible new MLS graduate

Certifications: Current certification as MT/MLS or categorical certification, through ASCP or equivalent
Other:
Preferred Education:
Preferred Licensure:
Preferred Experience:
Preferred Certifications:
Preferred Other:

From day one, Mercy offers outstanding benefits - including medical, dental, and vision coverage, paid time off, tuition support, and matched retirement plans for team members working 32+ hours per pay period.

Join a caring, collaborative team where your voice matters. At Mercy, you'll help shape the future of healthcare through innovation, technology, and compassion. As we grow, you'll grow with us.