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Depends. If their favourite data engineer says "Oh hey, I can write tensorflow too", then guess who get the job of to "productionizing" their crappy data science notebooks?



You have two much more likely options:

1. The person who developed the notebook is responsible for productionizing it. (No, it's not all crappy notebooks and some data scientists can indeed write high quality code).

2. You have someone like an ML engineer whose job it is to do this.

What you're describing seems like the least likely option; at least on the teams I've worked on "I can write tensorflow" would get you nowhere if that's not already a part of your job description.


Well, anyways that's what I was doing this time last year. Much too small a team to have a dedicated ML engineer though.




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