Machine Learning Engineer (m/f/x)

📋 Description

• Own models from handoff through to production: packaging, deployment, monitoring, and the decision
• Keep production models reliable — drift detection, performance monitoring, alerting and incident
• Own the serving and inference path: fitted pipeline artifacts, inference entry points, monitoring
• Review model design and evaluation methodology before anything ships, and catch data leakage
• Extend the shared platform so it stays useful for every model, without project-specific logic
• Set the engineering standards the platform runs on as it scales across the organisation

🎯 Requirements

• 2+ years in production machine learning engineering, with real ownership of models after handoff —
• Strong Python: typed, tested, production-grade code, and you review the work of others
• Enough machine learning depth to challenge a pipeline on problem framing, feature engineering
• Hands-on experience with a managed ML platform — SageMaker, Vertex AI, Databricks or Azure ML —
• An AI-native way of working: you use tools like Claude, ChatGPT or Copilot actively in your daily
• English at C1 level, written and spoken. German is not required — we work in English

🎁 Benefits

• Hybrid working: 3 days in office, 2 days remote – plus 25 "Work from Anywhere" days per year
• 28 days annual leave
• 2× annual career & development conversations
• Company pension with 20% employer contribution
• Fully paid Deutschlandticket (public transport)
• FitX membership or Urban Sports Club subsidy