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Principal MLOps Engineer

RaftRemote, US; DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI
Remote Full-time $150K/yr - $200K/yr

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Experience Level

Mid to Senior

Qualifications

Qualifications:Extensive experience in MLOps and machine learning. Proficient in building and deploying scalable machine learning models. Strong understanding of cloud-native infrastructure and data pipelines. Experience with real-time data processing and analytics. Ability to work collaboratively in a fast-paced environment. U. S. citizenship is required for this role.

About the job

Raft is seeking a Principal MLOps Engineer to help build and scale advanced AI and data platforms for the Department of Defense. This position plays a key role in transforming large volumes of real-time sensor and operational data into actionable intelligence, supporting critical decision-making for operators through mission applications and operational displays.

What you will do

  • Advance mission-critical AI and data platforms that process billions of daily events with low-latency pipelines and cloud-native architecture.
  • Support the development of an end-to-end machine learning platform for model development, evaluation, deployment, monitoring, and lifecycle management.
  • Ensure the platform operates effectively across both cloud infrastructure and resource-constrained environments.

Location

This role is open to remote work within the United States as well as in DMV, McLean, VA, Boston, MA, San Antonio, TX, Colorado Springs, CO, Tampa, FL, and Honolulu, HI.

Eligibility

  • U. S. citizenship is required.
  • All work must be performed within the continental United States.

About Raft

Raft is a customer-centric defense technology company that empowers U. S. military and government agencies with cutting-edge AI/ML and data solutions, focusing on impactful digital transformations.

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