Listen "The AI engineer skills gap"
Episode Synopsis
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 – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsors: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/practicalaiUpcoming Events: Register for upcoming webinars here!
More episodes of the podcast Practical AI
Technical advances in document understanding
02/12/2025
Beyond note-taking with Fireflies
19/11/2025
Autonomous Vehicle Research at Waymo
13/11/2025
Are we in an AI bubble?
10/11/2025
While loops with tool calls
30/10/2025
Tiny Recursive Networks
24/10/2025
Dealing with increasingly complicated agents
16/10/2025
We've all done RAG, now what?
29/09/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.