Give it a year or two and you will see frameworks where the complex mathematics behind ML will be more abstracted away, the model architectures used for various

Give it a year or two and you will see frameworks where the complex mathematics behind ML will be more abstracted away, the model architectures used for various applications will converge on their best uses and any software engineer will be able to train a model to do what they want and apply it to their product. There's a lot of hype right now, but you probably won't need the in-depth ML knowledge to get create products in the coming future. Right now there is still a lot of research (trial and error) on fiddling with architectures to get the best results. Personally I like to build products, and struggling with messy training code, running tests, and comparing results aren't my cup of tea.