TS/SCI AI/ML Engineer - Secure, Scalable ML

Noblis, Inc.; Reston (VA); On-site; USD 91,000 - 251,000; Full time

Job summary

Noblis seeks AI/ML engineers to design, develop, and deploy advanced ML/AI solutions within secure, production environments. You will work on scalable infrastructure, containerized models, and full-stack integration using Python and JavaScript.

The role emphasizes ML lifecycle, MLOps, and governance, with opportunities to lead architectural decisions and mentor engineering teams across mission-critical projects.

Qualifications

• Bachelor's, Master's, or PhD with 0–3 years in ML concepts and frameworks; or 3–years assoc. degree with related exp.
• Exposure to ML concepts and frameworks; production deployment experience preferred.
• Strong Python/JavaScript background with ML/AI model lifecycle knowledge.

Responsibilities

• Design, develop, and deploy ML/AI solutions in secure environments.
• Build scalable ML infra and CI/CD pipelines (MLOps).
• Leading technical architecture and mentoring engineers on ML best practices.
• Ensure model reliability, performance, and maintainability in production.

Skills

Full-stack Python/JS

ML/AI

DevOps/MLOps

Cloud/national security

Leadership/mentoring

Tools

Python

Docker

Kubernetes

PyTorch

TensorFlow

scikit-learn

Ray

SageMaker Pipelines

Job description

Noblis seeks AI/ML engineers to design, develop, and deploy advanced ML/AI solutions within secure, production environments. You will work on scalable infrastructure, containerized models, and full-stack integration using Python and JavaScript.

The role emphasizes ML lifecycle, MLOps, and governance, with opportunities to lead architectural decisions and mentor engineering teams across mission-critical projects.