AI​/ML Engineer, Senior; TS​/SCI w​/poly - Chantilly, VA

AI/ML Engineer, Senior

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.

• 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 Dev Ops 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/Dev Ops implementation experience
• U.S. Citizenship is required

Desired Qualifications

• AWS Certification, including AWS Certified Dev Ops Engineer or AWS Certified Solutions Architect Certification

Posted Salary Range USD $ - USD $ /Yr.