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Yuno

7 days ago

Machine Learning Engineer

Remote · Europe Europe

dockerkuberneteskafka

speedrun

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AI TL;DR

Join Yuno as a Machine Learning Engineer to build and scale MLOps infrastructure. Work remotely from Europe and collaborate with cross-functional teams to enhance machine learning systems.

AI match

Clear role · 80/100 against the market band on this page.

Interview prep for this job

  1. What would you ship in the first month as Machine Learning Engineer at Yuno?
  2. Which tradeoff in the description would you ask about first?
  3. How do you explain a production incident to this team?
  4. What would you measure in the first two weeks?
  5. Which part of your last project maps to this stack?

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Job description

Join Yuno as a Machine Learning Engineer to build and scale MLOps infrastructure. Work remotely from Europe and collaborate with cross-functional teams to enhance machine learning systems.

Details

  • Remote work, based in Europe
  • 5 to 8 years of experience
  • Skills: Docker, Kubernetes, Kafka

The work

  • Design and maintain the MLOps platform for model lifecycle automation
  • Take models from prototype to production with robust serving infrastructure
  • Automate retraining and deployment pipelines for ML models
  • Integrate ML models with streaming data platforms for real-time inference