Prompt: Hello, I study to become ML Engineer. As someone with your experience, what would be your advise to someone like me who wants to be in that field but doesn't have the background in it?
Machine Learning is a very broad and deep field to study, which can take many years to learn. However I would advice you to start small. Given some data, can you find some insights from this data that are interesting, actionable, or simply support a story that you want to narrate? You can just use pen and paper, or Excel sheets to start with. I would suggest to use tools readily available online, and build working prototype -- a prototype that is maybe ugly but solves the problem quickly. Then keep digging deeper into how it works underneath.
Further, can you create a system, that periodically finds such insights, from such data that is updated over time? Interestingly you don't necessarily have to always build complex ML models to help end-users.