MLOps Platform Engineer

Nordic Investin GroupStockholm, ME

About The Position

One of Nordic Investin’s partner companies is looking for an MLOps Platform Engineer, with Nordic Investin leading the recruitment process. The partner is scaling machine learning across several teams and needs a common platform for training, deployment and monitoring. You will build the paved paths that connect experiments with reliable services. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning.

Requirements

  • Production platform, DevOps or machine learning engineering experience.
  • Strong Python and cloud infrastructure knowledge.
  • Containers, Kubernetes and CI CD.
  • Experience with ML lifecycle tools such as MLflow or managed cloud services.
  • Infrastructure as code and observability skills.
  • Ability to design for both researchers and operators.

Nice To Haves

  • GPU workload orchestration.
  • Feature stores and online inference.
  • Governance in healthcare, finance or public services.

Responsibilities

  • Create reusable training and inference infrastructure.
  • Automate model packaging, validation and deployment.
  • Build feature, registry and experiment tracking integrations.
  • Implement monitoring for data and model behaviour.
  • Manage compute, access and cost controls.
  • Support teams adopting the platform through examples and documentation.
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