Navigating Career Changes in Machine Learning - Chris Szafranek

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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