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Those kinds of full stack ML engineers feel increasingly rare to me. Partly because people from academic backgrounds sometimes lack software engineering knowle
by thom 5y ago
Those kinds of full stack ML engineers feel increasingly rare to me. Partly because people from academic backgrounds sometimes lack software engineering knowledge, and vice versa. Partly because it’s just a lot of stuff to do well.
- tfehring 5y agoThose full stack roles are still relatively common (though decreasingly so, as you pointed out) at companies with small data science orgs, on the order of 10 people. But they're still usually called "data scientist," while I think of more specialized roles like MLE, ML ops, data engineer, data ops, etc. as cropping up in bigger and/or more mature data science teams. Calling it MLE instead of data scientist could be a screening technique though.