Hi, I’ve seen few blog posts and posts in other forums out there talking about the difference between data scientists and machine learning engineers. As I understand, many of the skills necessary for doing both roles are very similar, and the actual difference between the skillset being very nuanced.
Comment below if you consider yourself a data scientist, but you are also pushing fully featured APIs/applications to production. I’m pretty sure that people make the distinction I mentioned above just because most of the tools in the space are not very mature yet, and to push things to production there’s a lot of manual engineering work that’s still necessary. Any level of detail on your day-to-day would be appreciated.