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Role: Python Developer Generative AI & Cloud (Agentic AI) We are open to
* sponsorship candidates.

Location: Tampa, FL and Jersey City, NJ (3 Days onsite/week) Job Description: Strong hands on experience in Python development for AI/ML workloads Practical exposure to Generative AI models (LLMs, transformers, diffusion models) Understanding/practical knowledge on Agentic AI frameworks Experience working with cloud native AI services on GCP/AWS/Azure Understanding of privacy preserving ML techniques and responsible AI practices Experience working with prompt engineering including tool calling and guardrails Familiarity with MLOps pipelines, model deployment, and monitoring Ability to design scalable, production ready AI solutions Key Responsibilities: Design, develop, and optimize Python based AI/ML applications Build, fine tune, and deploy Generative AI solutions using modern frameworks Integrate AI models with cloud platforms and managed AI services Develop scalable APIs and microservices supporting AI workloads Collaborate with data scientists, ML engineers, and product teams to deliver end to end solutions Implement CI/CD pipelines ensuring code quality, testing, and security Monitor and optimize performance, reliability, and cost of cloud AI deployments Ensure compliance with data privacy, security, and responsible AI guidelines Additional Job Details: About Tanisha Systems, Inc.

Tanisha Systems, founded in 2002 in Massachusetts-
*, is a leading provider of Custom Application Development and end-to-end IT Services to clients globally.

We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations.

We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in
* and
*.

Tanisha Systems services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe.

Our engagement model provides a flexible operational environment that empowers our clients with the right levels of control.

Want to read more about Tanisha Systems? Visit us at Website Open Jobs

Join a World Class Team Operating at the Intersection of Technology, Data, and Digital Products This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $155,000
- $175,000 per year A bit about us: Competitive salary and comprehensive benefits Long-term stability with continued investment in technology and engineering High-visibility work with real-world impact A collaborative, engineering-driven culture focused on quality and continuous improvement Why join us? Work on data and machine learning platforms operating at significant scale Own and influence core systems that power critical business capabilities Collaborate with experienced engineers and data scientists in a highly technical environment Tackle complex engineering challenges with modern cloud and MLOps tooling Enjoy the stability of a mature organization combined with the opportunity to modernize and innovate Job Details Senior Data Engineer Role Summary Join a high-performing engineering team at a large, global organization operating at the intersection of technology, data, and digital products.

We are seeking a highly motivated Senior Data Engineer to lead the architecture, deployment, and operation of next-generation, data-driven platforms.

In this role, you will bridge the gap between Data Science and Production Engineering, ensuring that datasets, machine learning models, and core services are deployed reliably, scalably, and securely in the cloud.

This is a high-impact position requiring deep expertise in data architecture, backend engineering, and the full machine learning lifecycle in production environments.

Key Responsibilities Data Pipeline Design & Orchestration Design, build, and maintain robust data ingestion and transformation pipelines Leverage modern orchestration tools to ensure reliable, observable data flows supporting machine learning workloads Core Development Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration Develop shared libraries and glue services connecting cloud-native components API & Service Deployment Design, develop, and deploy high-performance Python APIs (FastAPI / Flask) to serve machine learning predictions and core application logic MLOps Pipeline Ownership Own end-to-end pipelines for continuous training, deployment, versioning, and monitoring of production ML models (e.g., recommendation or personalization systems) Infrastructure Management Architect and maintain scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform Ensure reliability, performance, and cost efficiency across environments Collaboration & Mentorship Partner closely with data scientists, software engineers, and platform teams Provide technical leadership and mentorship to junior engineers Qualifications Must-Have (Engineering Excellence) 5+ years of professional experience in Data Engineering, Software Engineering, or Cloud Engineering Deep expertise in Python for application development, data processing, and automation Proven experience building and deploying production-grade backend services and APIs (FastAPI, Flask, or Django) Strong SQL skills with experience designing and optimizing schemas for relational and analytical data stores (e.g., BigQuery, Cloud SQL) Hands-on experience with data orchestration tools such as Dagster or Airflow Extensive experience designing and operating services within Google Cloud Platform (BigQuery, Pub/Sub, Vertex AI, Compute Engine) Expert-level knowledge of Docker and Kubernetes, including Helm-based deployments Nice-to-Have (DevOps & MLOps) Experience with Infrastructure as Code tools such as Terraform or Crossplane CI/CD experience using GitHub Actions or similar tooling Familiarity with observability stacks (Prometheus, Grafana, Cloud Logging) Understanding of cloud security principles and enterprise compliance requirements Direct experience supporting production MLOps workflows (model monitoring, drift detection, automated retraining) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization.

Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

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Pay Rate: $74.00
- $78.00 Negotiable based upon years of experience Global Financial Firm located in RUTHERFORD, NJ has an immediate contract opportunity for an experienced Data Scientist Summary: Immediate contract opportunity for an experienced professional Location: Rutherford, NJ Role involves establishing and implementing new or revised applications and programs in the Technology team Focus on data extraction and analysis from structured and unstructured sources Develop systems to clean results and build predictive and prescriptive models Implement models in a production environment Address complex problems involving financial data with a focus on credit risk management Open to learning new and advanced models in LLM and GenAI Responsibilities: Architect, design, and implement robust Python-based solutions Lead global technology teams across different time zones, enabling a hybrid work model Drive Object-Oriented Programming (OOPS) principle-based development Mentor team members to leverage advanced Python coding techniques and features Partner with multiple management teams for integration of functions and system enhancements Resolve high impact problems/projects through in-depth evaluation of complex business processes Provide expertise in applications programming and ensure design adheres to architecture blueprint Develop standards for coding, testing, debugging, and implementation Provide in-depth analysis with interpretive thinking for defining issues and developing solutions Serve as advisor or coach to mid-level developers and analysts Implement Unit Testing and TDD to ensure software quality and maintainability Assess risk when making business decisions, demonstrating consideration for the company's reputation Requirements: PhD or master’s degree in computer science, data science, statistics, mathematics, engineering, or related field 5 years of industry experience specializing in ML modeling, ranking, recommendations, or personalization systems 5 years of experience designing and developing scalable and reliable machine learning systems Strong background in ML/DL/LLM algorithms, model architectures, and training techniques Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages Ability to work independently and collaboratively within a team Preferred Skills: Experience in GenAI/LLMs projects Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL) Background in financial business like banking, risk management Familiarity with capital markets and financial instruments and modeling

This Jobot Job is hosted by: Danielle Liguori Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $175,000
- $200,000 per year A bit about us: An IT company seeks Backend Developer! Why join us? Innovative, transparent leadership team Competitive comp plus equity and full benefits Strong growth runway in a high-growth sector Health, dental, and vision options Inclusive, supportive office culture Job Details We’re hiring a high-impact Backend Engineer to help scale a fast-growing platform in NYC.

This is a hands-on role for someone who thrives in distributed systems, cares about clean architecture, and wants real ownership from day one.

If you like building scalable systems, solving complex problems, and shipping production-grade code that actually moves the business, keep reading.

Responsibilities Architect, build, and scale high-performance backend systems Drive design reviews and influence technical direction Identify and eliminate bottlenecks across distributed environments Partner cross-functionally with Product, CS, and Ops to ship high-impact features Introduce modern tools, frameworks, and best practices Qualifications: 5+ years building distributed, production-scale systems Deep CS fundamentals and strong system design instincts Expert-level Python Strong AWS experience Solid experience with relational databases, especially PostgreSQL Java experience is a plus Why You? You think in systems and anticipate scale You don’t just flag problems, you propose solutions You own projects end-to-end, from architecture to deployment You care about documentation as much as clean, maintainable code You actively manage technical debt instead of ignoring it Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization.

Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.

Frequency varies for text messages.

Message and data rates may apply.

Carriers are not liable for delayed or undelivered messages.

You can reply STOP to cancel and HELP for help.

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New US based .NET team tasked with making an existing, modern platform utilize Microsoft's latest suite of enterprise AI tools and services.

This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $140,000
- $180,000 per year A bit about us: We’re transforming how government agencies digitize forms and automate workflows.

Our new initiative brings AI directly into this process
- using LLMs, vector search, and structured PDF parsing to accelerate public service delivery.

We’re not just bolting AI onto the side.

It’s becoming core to how our platform works.

We’re looking for a senior machine learning engineer to take the lead on this effort.

You’ll be the architect of our AI capability
- not just a contributor.

Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately.

This isn’t an R&D team running experiments
- it’s about delivering intelligent automation, right now.

Why join us? 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 Job Details You’ll design and build our machine learning infrastructure
- starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops.

You’ll work across product and engineering to embed intelligent behaviors into our no-code form builder.

This is not a research job or a sandbox role
- it’s a real opportunity to push AI into production at scale.

What you’ll do 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 Tech you’ll use 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 What we’re looking for 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 Nice to have: .NET understanding, especially for integration and orchestration layers What success looks like in 6 months 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 Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization.

Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.

Frequency varies for text messages.

Message and data rates may apply.

Carriers are not liable for delayed or undelivered messages.

You can reply STOP to cancel and HELP for help.

You can access our privacy policy here: /privacy-policy

Position Summary The Full Stack Software Engineer is responsible for designing, developing, deploying, and supporting scalable, secure, and high-performing applications that enable the operational success of OPC, GTC, and GSOC.

This role supports the full software development lifecycle, including front-end development, back-end services, database design, system integration, deployment, and ongoing operational support.

The engineer collaborates with cross-functional teams to deliver reliable, integrated technology solutions aligned with business needs.

Candidates will be considered at Level III, IV, or V depending on experience and demonstrated technical leadership.

Key Responsibilities Full Stack Development • Design, develop, test, and maintain enterprise-grade applications across the technology stack.

• Build modern, responsive, and user-friendly interfaces using React or similar frameworks.

• Develop backend services, RESTful APIs, and microservices using Java (Spring Boot), Node.js, and/or Python.

• Ensure applications are optimized for performance, scalability, reliability, and maintainability.

Architecture & Integration • Contribute to system design and architectural decisions.

• Develop and maintain integrations between enterprise platforms to ensure data accuracy and operational efficiency.

• Participate in API design, microservices architecture, and modernization initiatives.

Cloud & DevOps • Deploy and support applications in Azure environment.

• Implement and maintain CI/CD pipelines to support automated builds, testing, and deployments.

• Utilize containerization and orchestration tools such as Docker and Kubernetes.

• Support infrastructure-as-code and DevOps best practices.

Operational Excellence & Support • Monitor system performance and troubleshoot issues across the stack.

• Perform root cause analysis and implement long-term solutions.

• Plan and execute upgrades, enhancements, and system optimizations.

• Provide visibility into application health and performance metrics.

Collaboration & Leadership • Partner with business stakeholders, analysts, and technical teams to translate requirements into scalable solutions.

• Participate in Agile/Scrum ceremonies and iterative development processes.

• Mentor junior engineers and contribute to knowledge sharing.

• Lead technical initiatives or projects based on level and experience.

Compliance & Security • Ensure adherence to corporate policies and regulatory standards (including RUS, OSHA, SOX, NERC, FERC, and ITS requirements).

• Apply secure coding practices and support application and infrastructure security initiatives.

• Promote a culture of compliance, accountability, and continuous improvement.

Qualifications Education Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.

Experience by Level Level III • 4+ years of full stack development experience.

• Independently manages development tasks and production support.

• Leads smaller initiatives and contributes to team projects.

Level IV • 6+ years of experience including application architecture and system optimization.

• Leads development projects and provides technical direction.

• Collaborates cross-functionally to deliver integrated enterprise solutions.

Level V • 8+ years of experience architecting and managing enterprise-scale applications.

• Oversees major technical initiatives.

• Provides strategic technical leadership and drives innovation across IT functions.

Technical Expertise • Java (Spring Boot), React.js or similar framework, Python, Node.js • Microservices architecture and API management • MSSQL, Oracle, MongoDB • Azure or AWS/GCP (cloud-native architectures preferred) • CI/CD pipelines, GitHub • Docker, Kubernetes, Terraform • Secure coding practices (OAuth, JWT, SSL) • Observability, logging, and monitoring tools • Familiarity of ML/AI technologies Key Competencies • Strong analytical and troubleshooting skills • Excellent written and verbal communication abilities • Customer-focused mindset • Ability to work independently and collaboratively • Commitment to continuous learning and technical growth Why Join OPC, GTC, and GSOC? • Work on impactful, mission-critical enterprise systems • Contribute to modernization and cloud transformation initiatives • Grow your technical leadership capabilities • Be part of a collaborative, innovation-driven IT organization

This Jobot Consulting Job is hosted by: Christian Aviles Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $40
- $60 per hour A bit about us: A national restaurant company building Why join us? Work on high-impact backend systems at scale.

Job Details Senior Backend Application Developer (Loyalty & CRM Platforms) We are seeking a senior-level application developer with a strong database background (MySQL preferred) to join a team responsible for building and supporting large-scale digital guest and loyalty platforms for a national consumer brand.

This team develops and maintains the systems that power online ordering, customer engagement, and rewards experiences across multiple high-traffic digital channels.

This role supports a cloud-hosted platform composed of web services, APIs, batch processes, serverless functions, relational databases, and search infrastructure.

While the platform includes some UI components, the majority of the work is focused on backend development, service-layer code, and data systems.

This is an ideal role for an engineer who enjoys working deeply in backend services and relational databases and is comfortable supporting high-volume, enterprise production systems.

Key Responsibilities Design, develop, and maintain backend services, APIs, batch jobs, and data workflows supporting a large-scale loyalty and CRM platform.

Write and optimize complex SQL queries and data transformations in MySQL.

Analyze production data to troubleshoot issues and support business operations.

Improve performance, scalability, and reliability of APIs and database interactions.

Support data archival, cleanup, and lifecycle management initiatives.

Contribute to CI/CD pipelines and infrastructure automation.

Collaborate with product, QA, and engineering teams to deliver new features.

Troubleshoot production issues and participate in an on-call rotation.

Write clean, maintainable, well-tested code and participate in code reviews.

Stay current with relevant technologies and propose system improvements.

Note: This role involves minimal front-end work.

The majority of development is focused on backend services and relational data systems.

Required Experience 7–10+ years of experience as an application or backend developer in an enterprise environment.

Strong backend experience building APIs, services, and batch processing systems.

Significant experience with relational databases (MySQL preferred), including: Complex queries and joins Query tuning and performance optimization Experience analyzing and troubleshooting production data issues.

Experience working in LAMP or similar server-side environments.

Strong PHP experience preferred.

Candidates with comparable experience in Python, Perl, or similar backend languages will also be considered.

Experience building and maintaining RESTful APIs.

Familiarity with cloud environments (AWS preferred).

Experience with CI/CD pipelines and Git.

Strong debugging and problem-solving skills.

Experience working in Agile development environments.

Preferred Qualifications Roughly half of total experience working in PHP (Symfony or similar MVC frameworks preferred).

Experience supporting high-traffic production systems.

Experience with background jobs, schedulers, or event-driven architectures.

Experience working with CRM or loyalty platforms.

Experience with marketing automation platforms.

Familiarity with monitoring tools such as CloudWatch or New Relic.

Experience with infrastructure-as-code tools (CloudFormation, Packer, Chef, etc.).

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization.

Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.

Frequency varies for text messages.

Message and data rates may apply.

Carriers are not liable for delayed or undelivered messages.

You can reply STOP to cancel and HELP for help.

You can access our privacy policy here: /privacy-policy

About Arcticom, LLC Offering a broad range of information technology solutions, Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services.

Arcticom offers impressive performance that is routinely recognized with exceptional ratings and commendations tied to installation successes.

Satisfied Bering Straits Native Corporation (BSNC) family customers include the U.S.

Air Force, Army, Navy, Coast Guard, the Departments of State, Justice, Commerce, Agriculture, Interior, Homeland Security, the General Services Administration, the Defense Logistics Agency and the U.S Census Bureau.

About this position: Software Engineer Journeyman Location: Dayton, OH The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job.

Other duties may be assigned.

To perform this job successfully, an individual must be able to satisfactorily perform each essential duty.

The requirements listed below are representative of the knowledge, skill and/or ability required.

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position.

Wage/Salary Range: 95,000 – 132,000 Applicants will be notified via phone or email within ten (10) business days of submittal.

Essential Duties & Responsibilities Comfortable working with a distributed remote team and collaborating primarily online.

Conduct code reviews and suggest necessary improvements in existing processes and applications.

Report on status of systems and projects on a regular and timely basis.

Resolve difficult design and build issues and troubleshoot bugs, working closely with the test team and requirements managers to ensure successful implementations.

Reviews processes and procedures for software quality and data accuracy.

Develop, maintain, and support a complex code base for our DoD customer efforts.

Design, implement, and maintain software solutions leveraging MIP optimization models, AI, and ML techniques Develop and optimize mathematical models for scheduling, routing, allocation, forecasting, or decision-making problems Build and deploy ML models (supervised, unsupervised, and/or reinforcement learning) for real-world applications Integrate optimization and ML models into production systems and APIs Collaborate with product managers, analysts, domain experts, and other developers to translate requirements into technical solutions Improve model performance, scalability, and robustness through experimentation and tuning Write clean, well-documented, and testable code following best engineering practices Monitor, evaluate, and maintain models in production environments Stay current with emerging tools, frameworks, and research in optimization, AI, and ML Required (Minimum Necessary) Qualifications Education Requirements: Bachelor’s or Master’s degree in computer science, Engineering, Operations Research, Mathematics, or a related field Strong proficiency in Python, Java, or C++ Level of Experience Requirements: 4-7 years Software Development / Engineering experience.

Must have or be able to obtain CompTIA Security+ certification within the first 60 days of employment Must have or be able to obtain a National Agency Check with Inquiries and/or National Security Clearance; requires US Citizenship Knowledge, Skills, Abilities, and Other Characteristics Experience with Software Development Life Cycle (SDLC) Hands-on experience with Mixed Integer Programming (MIP) and optimization solvers (e.g., Gurobi, CPLEX, OR-Tools) Familiar with secure coding standards and processes, including OWASP, code scans, and other processes.

Solid understanding of machine learning algorithms and model evaluation techniques Experience in developing and maintaining applications built on Java, Oracle, and/or other related platforms.

Experience in container-based computing technologies, including Docker or Kubernetes, and the management of containers in various environments.

Experience deploying ML and optimization models in cloud environments (AWS, Azure, GCP) Experience in writing and maintaining complex SQL queries, data structures, and other database-related functions.

Preferred • N/A Supervisory Responsibilities • This position will not have supervisory responsibilities.

You may delete this line if it does not apply to the job.

DOT Covered/Safety-Sensitive Role Requirements • This position is not subject to federal requirements regarding Department of Transportation “safety-sensitive” functions.

Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role.

Employees must always maintain a constant state of mental alertness.

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about.

Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role.

Employees must always maintain a constant state of situational awareness.

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system.

The work described herein is primarily a modern office setting.

Occasional travel may be required.

Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results.

If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations.

Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job.

Bering Straits Native Corporation is an equal opportunity employer.

All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.