Noblis

Noblis

AI/ML Engineer, Senior

Chantilly, Virginia, USA · Senior · Part-time

No sponsorship$161k-$251kDetected 29 days ago
JavaScriptTypeScriptPythonBackend DevelopmentFull-Stack DevelopmentAWSDockerKubernetesDevOpsMachine LearningPyTorchLLMsMLOpsLeadershipCollaboration

About the role

  • Ensure model reliability, performance, and maintainability throughout the deployment lifecycle.

Responsibilities

  • Deploy, manage, and scale production ML workloads on Kubernetes.
  • Infrastructure & Operations Architect and implement 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.
  • Architect scalable and resilient infrastructure to support evolving AI/ML workloads and mission requirements.
  • 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 seek out individuals with a natural curiosity and desire to collaborate and learn.
  • We also maintain a drug-free workplace.

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

Skills

  • Integrate AI/ML capabilities into full-stack applications using Python-based backend services and JavaScript frontend technologies.
  • Technical Leadership Evaluate and adopt state-of-the-art AI/ML models, frameworks, and emerging technologies.

Compensation

  • $161k-$251k

Benefits

  • Model Development & Deployment Design, develop, and containerize machine learning (ML) models using modern frameworks and tools, including PyTorch, Ray, Docker, and FastAPI.
  • Establish and promote best practices for production-grade machine learning (ML) systems, including security, observability, and governance.
  • Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs.
  • Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs.
  • We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.

Company info

  • Learn more and find opportunities at careers.noblis.org 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 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.

Equal opportunity

  • If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.
  • EEO is the Law | E-Verify | Right to Work Total Rewards At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being.

Visa & Work Authorization

  • Citizenship is required #HighlyCleared Desired Qualifications AWS Certification, including AWS Certified DevOps Engineer or AWS Certified Solutions Architect Certification Overview Overview N

This listing is sourced directly from Noblis's careers page and normalized into a canonical job model.