[WinLychee]

The knowledge is harder to come by, and the field is (relatively) new. You need a fusion of data engineering, math, software engineering, and data analysis. Plus the ability to read and implement esoteric papers hot off the press, or in some cases innovate a new technique/module/architecture that hasn't been done before.

Oh, and you need to be able to do all the above _quickly_.

What's nice about it versus SWE is that you can totally ship hot garbage, doesn't have to be optimal at all, just "fast enough" and cheap enough.