What do full time graduated ai/ml engineers do everyday?
Okay so I'm a 3rd year undergrad whos an ai remote intern at a startup, and I spend most of my day just looking at data, preprocessing, verifying data, and debugging and training models. I realized most of my time does in debugging and training and running smaller ablations alongside, but a lot of time just goes into waiting for results during the training phase. My meetings mostly just consist of showing my training curves and predictions and getting feedback on it. I'm curious to know what a day looks like in a full-time ai/ml engineer's life that works in a larger structured MNC.
Edit: personally one main difference I noticed from academia is that my supervisors don't like the idea of me building an entirely new model like I do in research, they tell me to test current models and then tweak them and retrain (tho my own models are better ngl).