MLOps Engineer

Chantilly, VA, 1099, W2

Support a mission office with infrastructure and related services for a data / ML environment. Duties will include implementation of infrastructure as code with CI/CD and UI components, automation of deployments of new and updated elements of the data pipeline, performance monitoring, auto-scaling, support for integration of new tools and capabilities, disaster recovery and CoOP planning, documentation, and INFOSEC processes. Elements of the environment are to be increasingly containerized and deployed on GPUs.

This role is attached to a 5-year program and is onsite.


  • TS/SCI FSP Clearance
  • 5 years of experience and bachelor’s degree or 10 years of experience
  • Experience with advanced Python programming for data science and analytics
  • Experience with Linux and Bash
  • Experience with Docker & use of command line interface to orchestrate containerization
  • Experience creating unit tests, documentation, and participating in code reviews
  • Experience with ML models
  • Experience with developing CI/CD workflows across multiple environments
  • Experience with management of non-person entities in multiple environments

Bonus Points

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