ML engineers fall between data science and production engineering. They're responsible for doing their own data analysis and experimentation, plus some light engineering to implement their models in production. We also hire backend engineers to handle the more hardcore infrastructure tasks, so we don't expect quite the same insane level of coding ability as some companies do.