poly) - Chantilly, VA

Military Spouse Corporate Career Network•Chantilly, VA

4d•Onsite

About The Position

Noblis is seeking an experienced AI/ML Engineer to support mission-critical national security initiatives. The role involves designing, developing, and deploying advanced machine learning solutions and building the infrastructure needed to operationalize AI capabilities in secure, production environments. The position is on-site in Chantilly, Virginia, and requires TS/SCI clearance with polygraph. The engineer will develop and containerize ML models, deploy and scale production workloads, integrate AI/ML capabilities into full-stack applications, and ensure reliability and maintainability throughout deployment. The role also includes architecting cloud-native ML infrastructure on AWS, developing DevOps and MLOps pipelines, supporting systems in secure classified environments, and providing technical leadership across AI/ML initiatives.

Requirements

TS/SCI clearance with polygraph.
Experience developing and deploying machine learning solutions in production environments.

Responsibilities

Design, develop, and containerize machine learning models using 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.
Architect and implement cloud-native ML infrastructure on AWS.
Develop and maintain DevOps and MLOps pipelines for model development, testing, deployment, and monitoring.
Deploy and support AI/ML systems within secure, classified, and high-side environments.
Evaluate and adopt state-of-the-art AI/ML models, frameworks, and emerging technologies.
Architect scalable and resilient infrastructure for evolving AI/ML workloads and mission requirements.
Establish and promote best practices for production-grade ML systems, including security, observability, and governance.
Provide technical guidance and thought leadership across AI/ML initiatives and engineering teams.