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Tools for Humanity

7 days ago

Software Engineer, ML Ops and Platform

Onsite · Munich

pythondockerkubernetesterraformblockchain engineering

arbeitnow

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AI TL;DR

You will design and operate ML infrastructure for a biometric recognition system in Munich. This role involves building reliable pipelines and collaborating with various teams to enhance model deployment.

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Clear role · 80/100 against the market band on this page.

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  1. What would you ship in the first month as Software Engineer, ML Ops and Platform at Tools for Humanity?
  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 design and operate ML infrastructure for a biometric recognition system in Munich. This role involves building reliable pipelines and collaborating with various teams to enhance model deployment.

Details

  • Munich, work from office
  • 5+ years of experience
  • Skills: python, docker, kubernetes, go, terraform

The work

  • Design and operate infrastructure for training and deployment
  • Maintain CI/CD workflows and automated pipelines
  • Develop secure APIs and backend services
  • Implement real-time model monitoring and alerting