Ai/ml Engineer Iii

Astreya GmbH

Remote
Deep learning and genai prototyping
Mlops pipelines with ci/cd
Observability dashboards and alerts
Own the full lifecycle from prototyping (incl. deep learning and GenAI) to deployment and monitoring

Job Summary

  • Own the full lifecycle from prototyping (incl. deep learning and GenAI) to deployment and monitoring.
  • Architect data strategy, championing reproducibility, traceability, and quality across the ML stack.
  • Act as a cross-org ML thought leader—aligning product, infra, legal, and UX on responsible ML.

Matching Summary

Own the full lifecycle from prototyping (incl. deep learning and GenAI) to deployment and monitoring.

Skills & Requirements

Must-have

  • Deep learning and GenAI prototyping
  • MLOps pipelines with CI/CD
  • Observability dashboards and alerts
  • Scalable ML pipelines
  • Python, TensorFlow, PyTorch
  • Cloud-native AI services (GCP Vertex AI)

Nice-to-have

  • Cross-functional collaboration & governance
  • Champion cross-functional collaboration
  • Translate business goals into ML goals
  • Stay current with research
  • Handle ambiguity and balance research

Key Requirements

  • 4–6 years experience in ML/AI implementation
  • Bachelor’s degree in Computer Science, Data Science, IT, or related field
  • Master’s preferred or equivalent experience

Work Rights

Not specified

Tailored Resume

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