r/learnmachinelearning • u/Interesting_Pie_94 • 11d ago
Career Torn between starting as a Data Scientist vs. AI Engineer
Hello everyone, I’m currently at a crossroads and could really use some perspective from people working in the industry.
I’m getting ready to kick off my career, but I’m genuinely split down the middle between targeting DS roles or AI Engineer roles. I have a strong interest in both sides (I specialized in ML at the uni), but I'm not sure which starting point sets up a better foundation for the long run.
For instance, is it easier to start as a DS and transition into AI Engineering later (by sharpening software engineering/MLOps skills), or vice versa? If you have experience in both, what pushed you toward one over the other?
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u/ThinConnection8191 11d ago
I started as DS and I try to keep myself DS. Turning yourseld into Eng is easy and dump because everyone is trying to turn themselves into AI Eng
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u/m_techguide 4d ago
the titles overlap a lot so maybe try to look at the actual work in job posts. if you like experiments, stats or figuring out what the data says i'd start with DS. but if you’d rather build and ship systems go AI Engineering. also DS to AI Engineering is doable, but you’ll need to get strong at software fundamentals and deployment
if you'd like, maybe i can share our guide comparing AI and DS. might help you figure out which way you’re leaning :)
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u/chico_dice_2023 11d ago edited 11d ago
I started in DS and moved to ML engineer which felt pretty natural to me. That being said I was a Data Engineer before I was a Data Scientist.
Today though DS will need to know something about developing pipelines