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?
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?