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Sorry, no. The term "ML scientist" was specifically created by/for data folks to get rid of unpleasant repetitive work with math equations that has to be done but nobody looks forward to it.

If you've ever crafted a pipeline and tuned it to hum along, then watched it break with new/more/messier data, then figured out creative ways to fix it or replace parts of it with more robust parts, iterating on that and scaling it up, you would know some of the fantastic pleasure of whatever you call it, data engineering.




Sounds like what the media entertainment companies call a "pipeline engineer". Hmmm...




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