> It's similar to data engineers thinking they will do real ML some day and their data job is just temporary...
This is unfair to DEs, not to mention inaccurate as of 2022. The statement assumes DEs are yearning to do "real ML" while suffering in their "data job" and waiting for a chance to move "upwards". Data engineering is a terminal career path by itself which may or may not support a dedicated ML function. In fact many of my DE colleagues switched from DS/ML/DL citing "model fatigue".
Now, "ML engineers" spending 90% of their time producing a workable dataset to get to the "real ML" is a different discussion.
This is unfair to DEs, not to mention inaccurate as of 2022. The statement assumes DEs are yearning to do "real ML" while suffering in their "data job" and waiting for a chance to move "upwards". Data engineering is a terminal career path by itself which may or may not support a dedicated ML function. In fact many of my DE colleagues switched from DS/ML/DL citing "model fatigue".
Now, "ML engineers" spending 90% of their time producing a workable dataset to get to the "real ML" is a different discussion.