Noblis

Air Force A10 AI/ML Engineer / Data Scientist

Noblis$132K — $207K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree and 5 years of experience or equivalent alternatives
  • Production experience deploying ML models, including LLMs
  • Proficiency with ML frameworks like PyTorch and containerization tools such as Docker
  • Full-stack development experience in Python and JavaScript
  • Working knowledge of AWS cloud services
  • Experience with MLOps and DevOps practices
  • Must be a US Citizen with Top Secret Clearance & SCI eligibility

Responsibilities

  • Design and containerize ML models using modern tools and frameworks
  • Deploy, manage, and scale production ML workloads
  • Integrate AI/ML functionalities into full-stack applications
  • Ensure reliability and performance of models during deployment
  • Architect and implement cloud-native ML infrastructure on AWS
  • Maintain DevOps and MLOps pipelines for efficient model management
  • Evaluate and adopt new AI/ML technologies for improved solutions

Benefits

  • Full-time role with government contract support
  • Onsite position in the National Capital Region
  • Focus on advanced machine learning solutions
  • Involvement in high-stakes, secure projects
  • Opportunity to lead AI/ML initiatives and promote best practices
Full Job Description
Responsibilities

**This is part of a proposal effort and is contingent on contract award

Noblis is hiring multiple AI/ML Engineers and Data Scientists. This will be a full-time role located onsite at a Government facility in the National Capital Region (NCR). 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.

Additionally, the Analyst shall provide the following support:
  • 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.
    • Integrate AI/ML capabilities into full-stack applications.
    • Ensure model reliability, performance, and maintainability throughout the deployment lifecycle.
  • 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.
  • 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.


Required Qualifications

  • Bachelor's degree and 5 years of experience. In lieu of a degree will also consider an Associates & 8 years of experience, or HS & 11 years of 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/DevOps implementation experience
  • Must be a US Citizen with a Top Secret Clearance & SCI eligibility

Desired Qualifications

  • Experience with Defense systems data fusion, permissions, Authority to Operate requirements, and deployment on Government systems.

Posted Salary Range

USD $132,900.00 - USD $207,750.00 /Yr.

About Noblis

Noblis is an American not-for-profit science, technology, and strategy organization that provides technical and advisory services to federal government clients. Noblis works in the areas of national security, intelligence, transportation, healthcare, environmental sustainability, and enterprise transformation. Noblis was created in 1996 when Mitretek Systems Inc. was split into two separate entities. The other entity became known as Noblis ESI. Noblis has been recognized as one of the best places to work in the Washington, D.C. area by the Washington Business Journal and the Washingtonian.
Learn more about Noblis
Size
1,500 employees
Industry
Founded
1996

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