I see this in the ML space as well. I'm working in a team doing ML and ML-ops, and every time we open a position we get a flood of applications. Some have mas

I see this in the ML space as well. I'm working in a team doing ML and ML-ops, and every time we open a position we get a flood of applications. Some have masters degree in ML but many are regular devs who want to move into the ML space. I always try to convey that, ML or not, this is still a dev job. You still need to do all the boring, down to earth stuff, like hunting down bugs, fixing broken builds, or battling poor APIs. The supposedly "fun stuff" (modeling, etc.) is but a tiny part of the job. I'll add the Coffeeshop Fallacy to my vocabulary to explain this point better.