How to go from Data Science to ML/AI Engineering
I currently have 2.5 YoE as a data scientist for a large company. Job involves running ML algorithms on data sets after cleaning/sanitizing them and working with business stakeholders to find requirements/etc. In a profit center of the company right now working on building new implementations.
I'm getting annoyed with the "70% of date science is clean-up" part and I want to do more SWE and coding. For example, the idea of building self driving cars or working on AI to launch shit into space sounds awesome.
Starting master's in computer science with ML spec next spring with Georgia tech but don't really know how to get into the space now (as opposed to latter). Also taking deeplearning.ai course on Coursera to get up to speed on Tensor flow since I just use SKLEARN now. Also only know python but gonna learn other languages soon.
Any advise appreciated! Thanks