What do ML Engineers do at AWS AI?
For those familiar with AWS AI, what exactly is the scope for the MLEs? I've heard some say that you don't need any ML knowledge, and I heard others say that ML knowledge is very important. More specifically, do MLEs optimize/refactor ML algorithms that the scientists initially provide? How different is this role from SDEs at AWS AI?
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Depending on team you will do a mix of maintaining production systems, offline workflows and moving scientist prototypes into production.