MLOps Architect - Danny Leybzon

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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