Demand for machine learning engineers at most companies drops by 2026. I speculate that the demand for in-house models drops as the gulf between them and the major players grows. I think it will be (is?) easier and cheaper to rent time on someone else's model.
The ancillary tasks those MLEs were doing (data prep, model perf analysis, etc) will fall on other nearby roles (backend/data eng or data annalists). Ultimately I speculate that all of this work will end up being another integration backend/generalist engineers will handle.
The ancillary tasks those MLEs were doing (data prep, model perf analysis, etc) will fall on other nearby roles (backend/data eng or data annalists). Ultimately I speculate that all of this work will end up being another integration backend/generalist engineers will handle.