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> Machine Learning (ML) and Data Science (DS) developers are not software engineers, and vice-versa.

Woof, I'm out.

Your comment struck because superciliously I agree, but when thinking about it, it's quite true. Both are strongly related but quite different, just as a marathon runner (though better than average) will not set world records on a 100m sprint.

A software engineer can easily use a XGB model and get some outputs, but is a long way from having a deep understanding of statistical distributions. A ML engineer can easily put together a Django website, but is far from designing a maintainable software application.

Maybe on average it's true, but it's also a weird tone to strike in marketing materials. Where I work the MLE's are expected to write production level code and deploy their own services. We explicitly hire 1 level down on the SDE ladder when hiring MLEs, so a senior MLE should basically be almost a senior SDE.

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