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
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
