Machine Learning Engineer

W
Wolt - EnglishDelivery Technology
This role can be based in one of our tech hubs in Berlin, Helsinki, or Stockholm, or you can work remotely anywhere in Finland, Sweden, Germany.Full-TimeMiddle
Salary not disclosed
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Job Details

Experience
2+ years
Required Skills
DockerPythonKubernetesMachine LearningMLFlowMLOps

Requirements

  • 2+ years of experience in ML/MLOps
  • Experience deploying ML models in production at scale
  • Solid experience in scaling solutions and troubleshooting ML deployments
  • Experience in implementing real-time inference ML models
  • Strong Python software engineering experience
  • Proficiency with Docker and Kubernetes
  • Experience with workflow orchestration tools (e.g. Flyte)
  • Experience with model and experiment registries (e.g. MLflow)
  • Experience with model serving systems (e.g. Seldon)

Responsibilities

  • Build the ML infrastructure to develop, train and deploy Wolt’s ranking models
  • Work end-to-end, from use case design to implementation, delivery and monitoring
  • Maintain our production ML stack and raise the team’s ML engineering excellence bar
  • Liaise with Wolt’s ML Platform team to adopt ML technologies
  • Contribute to Wolt ML Engineering and Applied Science communities
  • Be part of a cross-disciplinary team with Applied Scientists, Software Engineers and Analysts
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