2 parts to the question: 1) How different is ML platform engineering from regular backend engineering? 2) What should I expect to be different in the interview compared to regular backend engineering? Example teams: Uber Michaelangelo, Pinterest ml platform team etc.
As far as I know: 1) May be responsible for productionizing ML models. Example: making prediction time request faster or making a notebook plugin to help data scientists 2) Basic ML algorithms and familiarity with pandas, numpy etc
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+1 interested also
May help if you tag uber, Google, facebook