[D] ML Engineer vs. MLOps Engineer

As the need for ML infra grows, the confusion between the "ML Engineer" vs. "MLOps Engineer" roles seems to be steadily increasing, and with it the number of online articles on the subject (quite a lot [here](https://www.google.com/search?q=ml+engineer+vs.+mlops+engineer), including [*our own recent blog too*](https://medium.com/@tenyks_blogger/ml-vs-mlops-engineer-key-differences-similarities-43d612bacdd9)).

Do we think this is something that will get clearer as the industry matures?

Or is it more of a "giff" vs. "jiff" type situation?

Or will this not matter once the "Prompt Engineers" wipe us all …

engineers industry machinelearning prompt prompt engineers something think type