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aisquared

Nov 26

Machine Learning Engineer

Hybrid · Washington, DC Washington, DC

pythonawsdockerkubernetesgcpazurepytorchtensorflow engineering

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AI TL;DR

Join our AI team as a Machine Learning Engineer in Washington, DC, focusing on deploying and maintaining AI/ML systems. Collaborate with cross-functional teams to ensure scalable and reliable production-grade solutions.

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  1. What would you ship in the first month as Machine Learning Engineer at aisquared?
  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

Join our AI team as a Machine Learning Engineer in Washington, DC, focusing on deploying and maintaining AI/ML systems. Collaborate with cross-functional teams to ensure scalable and reliable production-grade solutions.

Details

  • Washington, DC, Hybrid
  • 5+ years of experience
  • Skills: Python, AWS, GCP, Azure, Docker, Kubernetes, PyTorch, TensorFlow

The work

  • Design and maintain ML deployment pipelines for production systems
  • Operationalize large language models and ensure high availability
  • Build model monitoring and alerting systems to track performance
  • Develop CI/CD pipelines for ML workflows