I work in this field. I can tell you that the maths involved is an easier (and more exciting) learning curve. A lot of software engineering already involves the tools necessary for getting good af math: example SVG transformations and matrix algebra, learning how to manipulate abstraction in operating systems etc.
I'd suggest an approach where you use your (presumably good) software engineering skills to join an engineering gig in a data science team. Then, gradually pick up tools, slowly pivoting into fully fledged ML/AI. It is definitely possible as a career path.
I'd suggest an approach where you use your (presumably good) software engineering skills to join an engineering gig in a data science team. Then, gradually pick up tools, slowly pivoting into fully fledged ML/AI. It is definitely possible as a career path.