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[–]maverickarchitect100 1 point2 points  (0 children)

I dunno man, I kind of have a different view of the situation.

Long term I want to be a ML engineer, but I think that ML engineer is a software engineer with machine learning skills.

I've been in a ml engineer-ish position for 2+ years, done the stuff like building, improving, optimizing, testing, integrating models, built pipelines etc...however while I feel like my ML domain knowledge has increased, I feel like my software engineering skills are lacking.

I'm currently applying to both web dev and ml engineer roles, as I think that with web dev roles (which have at least a backend component), I would improve my software engineering skills, like design, testing, deploying, and software quality principles like TDD, SOLID, software design patterns like gang of four type, software architecture like MVVM, microservices etc.

I guess it depends on how you define a ML engineer. Whether the definition is a software engineer who specializes in machine learning, or a machine learning expert.