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Senior ML Platform Engineer — Kubernetes

Acquism SARL

Zürich · Hybrid Senior 1w ago

About the role

About

  • A technology firm in Zurich is looking for an experienced AI/ML Infrastructure Engineer.

Responsibilities

  • You will be responsible for designing, developing, and maintaining AI/ML infrastructure within a microservices architecture on Kubernetes.

Requirements

  • The ideal candidate has over 5 years of experience with specific skills in Kubernetes, data engineering, and has hands‑on experience with ML platforms like MLflow and PyTorch.
  • Excellent communication skills in English are essential, as collaboration across teams is crucial.

Work Arrangement

  • This hybrid role requires three days in the office.

Reference

  • #J-18808-Ljbffr

Requirements

  • Hands-on experience with ML platforms like MLflow and PyTorch.

Responsibilities

  • Designing, developing, and maintaining AI/ML infrastructure within a microservices architecture on Kubernetes.

Skills

Data EngineeringKubernetesMLflowPyTorch

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