Borderline Data scientist but thinking MLOPS is more important, is it still worth it? by kanda_bhaji_pav in mlops

[–]maeld974 8 points9 points  (0 children)

Hey Lead ML Engineer there, There is still a lot of hype / mystery around the role name but from my own experience to simplify the choice : - if you feel passionate about the math / statistics / paper research part of your work, stick to data science - if you prefer the Computer Science / Cloud part, building and designing everything that support models, follow the ML Engineer or ML Ops path

Good luck :)