Ask HN: What are the biggest skill gaps on large engineering teams?
I lead a technology training/upskilling company and am trying to do some research on our next 2-3 courses to build, to upskill engineering teams outside Silicon Valley.
Those of you who work on engineering teams (software, data, AI/ML, devops) at large corporations, especially outside of Silicon Valley -- where do you see the biggest skills gaps? What skills are the hardest to hire for right now? Are companies investing in upskilling their teams, and if so, how?
A year ago, I’d heard from engineering leaders that their teams often lack the capabilities needed to deal with ML models at scale. Is that still the case?
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