The AI engineer skills gap
· 46 min · Episode 340
Episode The AI engineer skills gap
Chris and Daniel talk with returning guest, Ramin Mohammadi, about how those seeking to get into AI Engineer/ Data Science jobs are expected to come in a mid level engineers (not entry level). They explore this growing gap along with what should (or could) be done in academia to focus on real world skills vs. theoretical knowledge.
Featuring:
• Ramin Mohammadi – LinkedIn • Chris Benson – Website, LinkedIn, Bluesky, GitHub, X • Daniel Whitenack – Website, GitHub, X
Sponsors:
• Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalai
Upcoming Events:
• Register for upcoming webinars here!
Links in the notes 10
- https://www.linkedin.com/in/ramin-madi/
- https://chrisbenson.com/
- https://www.linkedin.com/in/chrisbenson
- https://bsky.app/profile/chrisbenson.bsky.social
- https://github.com/chrisbenson
- https://x.com/chrisbenson
- https://www.datadan.io/
- https://github.com/dwhitena
- https://x.com/dwhitena
- https://practicalai.fm/webinars
Chapters
Transcript
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