Navigating Career Changes in Machine Learning - Chris Szafranek DataTalks.Club

We talked about


Chris’s background
Switching careers multiple times
Freedom at companies
Chris’s role as an internal consultant
Chris’s sabbatical
ChatGPT
How being a generalist helped Chris in his career
The cons of being a generalist and the importance of T-shaped expertise
The importance of learning things you’re interested in
Tips to enjoy learning new things
Recruiting generalists
The job market for generalists vs for specialists
Narrowing down your interests
Chris’s book recommendations



Links:


Lex Fridman: science, philosophy, media, AI (especially earlier episodes): https://www.youtube.com/lexfridman
Andrej Karpathy, former Senior Director of AI at Tesla, who's now focused on teaching and sharing his knowledge: https://www.youtube.com/@AndrejKarpathy
Beautifully done videos on engineering of things in the real world: https://www.youtube.com/@RealEngineering
Chris' website: https://szafranek.net/
Zalando Tech Radar: https://opensource.zalando.com/tech-radar/
Modal Labs, new way of deploying code to the cloud, also useful for testing ML code on GPUs: https://modal.com
Excellent Twitter account to follow to learn more about prompt engineering for ChatGPT: https://twitter.com/goodside
Image prompts for Midjourney: https://twitter.com/GuyP
Machine Learning Workflows in Production - Krzysztof Szafanek: https://www.youtube.com/watch?v=CO4Gqd95j6k
From Data Science to DataOps: https://datatalks.club/podcast/s11e03-from-data-science-to-dataops.html



Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp

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