I remember the surge of interest in "Data Scientist" roles during the Big Data hype around 2015. Many companies were hiring Data Scientists, only to discover that what they really needed were Data Engineers who could set-up the data pipelines.
In today's AI landscape, what do you think makes more sense to learn: Machine Learning or more engineering-centric skills like MLOps?
👤 catlover76 Accepted Answer ✓
> Many companies were hiring Data Scientists, only to discover that what they really needed were Data Engineers who could set-up the data pipelines.
I think, at a lot of places, these roles end up being the same (?)