Job Description

Job Description

About your tasks:

  • Build and operate production-ready ML & AI applications as part of cross-functional product teams.
  • Own the application lifecycle – from architecture decisions to testing, deployment, and monitoring.
  • Automate retraining and redeployment to ensure models stay relevant to changing data.
  • Foster a DevOps mindset that prioritizes reliability, operability, and security.
  • Enhance developer experience by contributing to shared frameworks, libraries, and standards.

Qualifications

About you:

  • Professional experience in MLOps or DevOps, ideally with ML & AI applications in production.
  • Strong software engineering skills, especially in Python, with a solid grasp of software architecture, clean code, and testing p...

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