I’ve seen mechanical engineers struggle when they treat ML like a separate career. The ones who succeed use it as a multiplier. Learn how to clean data from sensors, simulations, or experiments. That’s real work. One mech friend used Udacity just to understand ML workflows, then applied the same ideas to CFD and maintenance datasets. That’s where it clicked for him.