Should I be a Data Scientist or a Machine Learning Engineer first? /u/Upstairs-Deer8805 CSCQ protests reddit

Hi all. Basically I have studied the difference between the two of them. My main goal is to become the expert of the two sides, so that I could build and operationalise my models (AI or just the conventional stats models), build proper pipeline for experimentation, etc.

Would it be better to become a data scientist first, then switch to MLE, or the other way around? Could you also please share the reasoning behind it?

Currently working as an AI & Data consultant with roughly 3 years of experience. Thinking of switching to tech soon. I understand the risk but I don’t really think consulting is going well in my current experience.

Any insights would be appreciated, thank you!

Hi all. Basically I have studied the difference between the two of them. My main goal is to become the expert of the two sides, so that I could build and operationalise my models (AI or just the conventional stats models), build proper pipeline for experimentation, etc.

Would it be better to become a data scientist first, then switch to MLE, or the other way around? Could you also please share the reasoning behind it?

Currently working as an AI & Data consultant with roughly 3 years of experience. Thinking of switching to tech soon. I understand the risk but I don’t really think consulting is going well in my current experience.

Any insights would be appreciated, thank you!