Which position brings the best job prospects: machine learning engineer/scientist, computer vision engineer/scientist, or data scientist/engineer?
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Considering that there could be significant overlap between these. If we focus on the most rigid description of each position, which one brings best job prospects for the next 5-10 years?
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Answer:
All will have good prospects. This question is like which flavour is the best in chocolate, vanilla, strawberry. In general it cannot be said. The work you will do will almost be the same(you will work in a domain at a time, you will use/build ML algorithms, you will handle data, you will try to understand the domain). It is just the point of view and what you will focus on. Most likely in all positions you will do something which is included in every profile. I accept that I am being crude, but ML would be like algorithmic, vision would be more application focussed, and data science is more engineering focussed. I know this statement is totally wrong but still I prefer to describe the mindset this way. P.S. I dont have any experience but this is just my perspective based on what I read and feel when I go through books or internet.
Anonymous at Quora Visit the source
Other answers
It's tied between data scientist and ML Engineer. Computer Vision is not as attractive as it was 10 years ago. The field is getting more abstract. I'd hedge my bets on Data Scientist. If you have a good background in Deep Neural Networks as well, it's a dynamite combination !
Tauf Hab
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