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Skdse

6 days ago

Machine Learning Engineer (All genders)

Onsite · Munich, Bavaria Munich, Bavaria

pythonsqlawsgcpazurepytorch operations excellence

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AI TL;DR

You will develop and deploy machine learning models to enhance data-driven decision-making in defense technology. This role involves building data pipelines and collaborating with cross-functional teams in Munich.

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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 Machine Learning Engineer (All genders) at Skdse?
  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 deploy machine learning models to enhance data-driven decision-making in defense technology. This role involves building data pipelines and collaborating with cross-functional teams in Munich.

Details

  • Munich, Bavaria, work from office
  • 4–7 years of experience in data engineering or ML engineering
  • Skills: Python, SQL, ML frameworks (scikit-learn, PyTorch), MLOps fundamentals

The work

  • Design and build data pipelines from operational and back-office sources
  • Develop ML models for production and back-office use cases
  • Deploy models into production, including monitoring and retraining workflows
  • Collaborate with stakeholders to scope and validate ML use cases