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Machine Learning Engineer

Kanadevia Inova · Zürich

New
🇬🇧 English
Python PyTorch TensorFlow Scikit-learn MLOps Azure Docker APIs databases distributed systems

Job description

About the role

Kanadevia Inova is looking for a Machine Learning Engineer to help industrialise AI solutions that turn waste into valuable resources such as energy, heat, hydrogen and fertilizer. You will work in a fast‑moving, agile environment alongside cross‑functional teams.

Key responsibilities

  • Transform prototype AI/ML models into scalable, production‑ready applications.
  • Design, implement and maintain end‑to‑end MLOps pipelines covering training, validation, deployment, monitoring and retraining.
  • Collaborate with data scientists, data engineers, software engineers, product managers and business stakeholders.
  • Ensure reliability, security, compliance, data integrity and performance throughout the ML lifecycle.
  • Monitor and optimise model performance, troubleshoot production issues and mentor junior colleagues.

Required profile

  • MSc in Computer Science or a STEM field with strong computer‑science focus.
  • Experience in agile software development environments.
  • Hands‑on experience with machine‑learning frameworks such as PyTorch, TensorFlow or Scikit‑learn.

Required skills

  • Python programming
  • MLOps practices (model deployment, versioning, monitoring)
  • Cloud platforms, preferably Azure
  • Containerisation with Docker
  • APIs, databases and distributed systems

Questions fréquentes

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Source : ats:smartrecruiters

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Published 4 hours ago

Expires 1 month from now

5 views · 0 interested

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Kanadevia Inova

Zürich