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# Machine Learning Engineer- TS/SCI with Polygraph

- **Company:** General Dynamics Information Technology
- **Location:** Tysons, VA, United States
- **Experience:** Expert
- **Salary:** $162,037.0 - $219,227.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Computer Vision, Continuous Integration, Data Governance, Extract Transform Load (ETL), Github, Key Management, Machine Learning, Cloud Services, Ansible, Amazon Simple Notification Service (SNS), Software Deployment, Management of Software Versions, Reinforcement Learning, Cloudformation, Containerization, Kubernetes, Information Technology, AWS Data Analytics, Graphql, Data Management, Functional Programming, Cloudwatch, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Devsecops, Docker, Jenkins, Microservices
- **Published:** October 21, 2026
- **Apply:** https://dejobs.org/x/x/0D9756DC017741F8B82901F48CF49939/job/

## About the Role

Artificial Intelligence (AI),AWS Key Management Service (KMS),Machine Learning (ML),REST, 10 + years of related experience, Data Management

 * Architect and implement scalable data pipelines and lakes; enforce data governance, encryption (AWS KMS), versioning, lifecycle policies, tagging, and zero-trust controls across storage and processing workflows.
 * Coordinate cross-domain data movement (e.g., AWS Data Diode/PrivateLink) and continuous compliance evidence generation to support ATO and monitoring.

AI/ML REST Services Deployment

 * Build, expose, and scale model inference APIs (REST/GraphQL) and microservices; validate endpoints and automate documentation (VDD, release notes) for production deployment.

Cloud Services & DevSecOps

 * Design and manage AWS workloads (EC2, EKS, Lambda, S3, CloudWatch, SNS/SQS) and containerized deployments (Docker/Kubernetes) within CI/CD toolchains (Jenkins/GitHub).
 * Apply infrastructure-as-code (Terraform/CloudFormation/Ansible) to deliver repeatable, compliant environments with shift-left security and automated evidence for ATO.

Artificial Intelligence & Machine Learning

 * Lead model selection, training, tuning, and evaluation (supervised, unsupervised, reinforcement learning); apply NLP, computer vision, and agentic/GenAI approaches to mission use cases., * Education: Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience.
 * Experience: 10+ years
 * Security clearance: TS/SCI with Polygraph
 * Location: Tyson's, VA (On Customer Site)
 * US Citizenship Required