DataTalks.Club

MLOps Architect - Danny Leybzon

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We talked about:

  • Danny’s background
  • What an MLOps Architect does
  • The popularity of MLOps Architect as a role
  • Convincing an employer that you can wear many different hats
  • Interviewing for the role of an MLOps Architect
  • How Danny prioritizes work with data scientists
  • Coming to WhyLabs when you’ve already got something in production vs nothing in production
  • Market awareness regarding the importance of model monitoring
  • How Danny (WhyLabs) chooses tools
  • ONNX
  • Common trends in tooling setups
  • The most rewarding thing for Danny in ML and data science
  • Danny’s secret for staying sane while wearing so many different hats
  • T-shaped specialist, E-shaped specialist, and the horizontal line
  • The importance of background for the role of an MLOps Architect
  • Key differences for WhyLogs free vs paid
  • Conclusion and where to find Danny online


    • Links:

    • Matt Turck: https://mattturck.com/data2021/
    • AI Observability Platform: https://whylabs.ai/observability
    • Danny's LinkedIn: https://www.linkedin.com/in/dleybz/
    • Whylabs' website: https://whylabs.ai/
    • AI Infrastructure Alliance: https://ai-infrastructure.org/


      • ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp

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