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This strikes me as incredibly rosy; I want to live in this world, but I don't. The world I live in:

- Data Analyst: someone who knows some SQL but not enough programming, so we can pay < 6 figures

- ML specialist: someone who figured out DS is a race to the bottom and ML in a title gets you paid more. Spends most of their time installing pytorch in various places

- BI Engineer: Data Analyst but paid a bit more

- Data Engineer: Airflow babysitter

- Big Data Engineer: middle-adged Scala user, Hadoop babysitter



In my experience, I have started to believe ML Engineer is short for "YAML Engineer".


Out of all the snark in this thread, this is the only bit to illicit a chuckle from me. Thank you.




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