Tagasi tulemustesse

Senior MLOps Engineer

Point Wild

Tallinn

Avaldati 22.09

Palk täpsustamataTuruvahemik: 4150–5750 €

Responsibilities

Architecting, building, and maintaining GCP-based ML infrastructure, pipelines, and tooling; deploying, scaling, and monitoring production AI models; and enabling reliable model serving, automated training and deployment workflows, observability, and transition of AI prototypes into secure auto-scaling microservices.

Requirements

  • MLOps experience
  • GCP
  • Vertex AI
  • GKE
  • Cloud Run
  • Docker
  • Kubernetes
  • Triton Inference Server
  • vLLM
  • MLflow

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