This seems to be overstating the separation. For people doing applied ML, there's often been a dual responsibility that included a significant amount of software engineering. I wouldn't necessarily listen to such declarations from an ML researcher whose primary output is papers, but from ML engineers who have built and shipped products/services/libraries I think it's much more reasonable.