Why Machine Learning Engineers Are Replacing Data Scientists - AI Summary

But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets. An ML engineer, on the other hand, will shine at building and optimising data flows, implementing models, and putting them in production. He or she will come from a computer science background, might have less formal education than data scientists, and will be good at programming and understanding cloud infrastructures, for instance. That means many organisations are hiring people to solve basically the same types of problems, over and over again, in parallel. At the same time, we see companies like Google and Amazon, who have some of the best data scientists in the world, working on "ready-to-use" ML systems on their cloud platforms (GCP and AWS, respectively).