AI/ML Engineer, Senior (TS/SCI w/ poly) - Chantilly, VA

VetJobs

Chantilly (VA)

On-site

USD 161,000 - 251,000

Full time

5 days ago
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Job summary

Noblis, in Chantilly, VA, seeks a Senior AI/ML Engineer with TS/SCI clearance to design, develop, and deploy secure ML solutions in production environments. You will build cloud-native infrastructure and lead ML initiatives across secure, classified settings.

The role requires strong Python/JavaScript full-stack capabilities, experience with ML frameworks and containerization, and a track record in building scalable MLOps pipelines on AWS and Kubernetes.

Qualifications

  • Active TS/SCI clearance with polygraph.
  • Bachelor’s degree with 8+ years of related experience, or Master’s with 7+ years, or equivalent.
  • Production experience deploying ML models, including LLMs.
  • Strong proficiency with ML frameworks and containerization (PyTorch, Docker, Kubernetes).

Responsibilities

  • Design, develop, and containerize ML models using modern frameworks and tools (PyTorch, Ray, Docker, FastAPI).
  • Deploy, manage, and scale production ML workloads on Kubernetes.
  • Integrate AI/ML capabilities into full‑stack applications using Python and JavaScript.
  • Ensure model reliability, performance, and maintainability through deployment lifecycles.
  • Architect and implement AWS-based ML infrastructure and DevOps/MLOps pipelines.

Skills

Active TS/SCI clearance
Full-stack development
Python
JavaScript
DevOps / MLOps
AWS

Education

Bachelor’s degree or higher

Tools

PyTorch
Docker
Kubernetes
FastAPI
AWS services

Job description

Job Description
AI/ML Engineer, Senior

Chantilly, VA

  • Noblis is seeking an experienced AI/ML Engineer with Active Top Secret/SCI (TS/SCI) clearance with a current Polygraph to support mission‑critical national security initiatives.

In this role, you will design, develop, and deploy advanced machine learning solutions while building the infrastructure required to operationalize AI capabilities in secure, production environments.

Job Responsibilities
  • Model Development & Deployment
    • Design, develop, and containerize machine learning (ML) models using modern frameworks and tools, including PyTorch, Ray, Docker, and FastAPI.
    • Deploy, manage, and scale production ML workloads on Kubernetes.
    • Integrate AI/ML capabilities into full-stack applications using Python-based backend services and JavaScript frontend technologies.
    • Ensure model reliability, performance, and maintainability throughout the deployment lifecycle.
  • Infrastructure & Operations
    • Architect and implement cloud-native ML infrastructure on AWS.
    • Develop and maintain DevOps and MLOps pipelines to streamline model development, testing, deployment, and monitoring.
    • Deploy and support AI/ML systems within secure, classified, and high side environments.
  • Technical Leadership
    • Evaluate and adopt state‑of‑the‑art AI/ML models, frameworks, and emerging technologies.
    • Architect scalable and resilient infrastructure to support evolving AI/ML workloads and mission requirements.
    • Establish and promote best practices for production‑grade machine learning (ML) systems, including security, observability, and governance.
    • Provide technical guidance and thought leadership across AI/ML initiatives and engineering teams.
Required Qualifications
  • Active Top Secret/SCI (TS/SCI) clearance with a current Polygraph
  • Bachelor’s degree with 8 years of related experience; OR Master’s degree with 7 years of related experience; OR associate’s degree with 11 years of related experience; OR High School diploma/GED with 14 years of related experience
  • Production experience deploying ML models, including LLMs
  • Strong proficiency with ML frameworks and containerization (e.g., PyTorch, Docker, Kubernetes)
  • Full‑stack development experience (e.g., Python, JavaScript)
  • Working knowledge of AWS cloud services
  • Demonstrated MLOps/DevOps implementation experience
  • U.S. Citizenship is required
Desired Qualifications

AWS Certification, including AWS Certified DevOps Engineer or AWS Certified Solutions Architect Certification

Posted Salary Range: USD $160,800.00 - USD $251,325.00 /Yr.

Certificates/Security Clearances/Other
  • Active TS/SCI w/ polygraph
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