ml engineering

The shift from one model per task to one model adapted many ways rewrote the job description. The interviewer is checking whether you know which half of the work got nearly free, which half did not move at all, and which problems classical ML still owns outright.

The opener in half of all Applied AI screens, and most candidates answer it with a definition nobody scores. The distinction that actually earns points is about where you start and what your bottleneck turns out to be.