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accenturefederalservices

8 days ago

AI/ML Engineer

Onsite · Washington, DC

pythondockerkubernetesazurepytorchtensorflow 57759672 - afs advanced ai

greenhouse

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AI TL;DR

You will develop and maintain machine learning models and pipelines for federal applications in Washington, DC. This role requires hands-on experience with MLOps frameworks and cloud technologies.

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  1. What would you ship in the first month as AI/ML Engineer at accenturefederalservices?
  2. Which tradeoff in the description would you ask about first?
  3. How do you explain a production incident to this team?
  4. What would you measure in the first two weeks?
  5. Which part of your last project maps to this stack?

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Job description

You will develop and maintain machine learning models and pipelines for federal applications in Washington, DC. This role requires hands-on experience with MLOps frameworks and cloud technologies.

Details

  • Washington, DC, work from office
  • $108,400—$203,400 USD
  • Must be a U.S. Citizen (No Dual citizenship)
  • Skills: Python, Docker, Kubernetes, Azure, PyTorch, TensorFlow

The work

  • Develop MLOps frameworks and workflows for various applications
  • Build, train, deploy, and maintain machine learning models in production
  • Design and maintain end-to-end ML pipelines including data ingestion and monitoring
  • Collaborate with engineering and data teams to integrate ML solutions