AI/ML Engineer, Senior
Responsibilities
- 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.
- Architect 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.
- Evaluate and adopt state-of-the-art AI/ML models, frameworks, and emerging technologies.
- 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.
Requirements
- 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).
- Demonstrated MLOps/DevOps implementation experience.
Qualifications
- U.S. Citizenship is required.
Desired Qualifications
- AWS Certification, including AWS Certified DevOps Engineer or AWS Certified Solutions Architect Certification.
Overview
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.
Total Rewards
- Health, life, disability, financial, and retirement benefits.
- Paid leave, professional development, tuition assistance, and work-life programs.
- Award programs acknowledging employees for exceptional performance and superior demonstration of our service standards.
Compensation
The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis’ total compensation package.