AI​/ML Engineer, Senior

Responsibilities

Noblis is seeking an experienced AI/ML Engineer 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.

• 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

#Highly Cleared

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

Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation’s toughest challenges, delivering advanced solutions to our customers’ most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.

We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities lis.org ((Use the "Apply for this Job" box below).)

Why Work at Noblis

At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission‑driven professionals who care deeply about doing work that enriches lives and makes our nation safer.

Noblis has earned numerous workplace awards () for our culture, our commitment to employee well‑being, and our dedication to meaningful, impactful work. We also maintain a drug‑free workplace.

Remote/hybrid status is subject to change based on Noblis and/or government requirements.

All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.

If reasonable accommodation is…