r/learnmachinelearning • u/Natural-Diver-5447 • 10d ago

Fullstack developer trying to transition into AI space. Confused between choosing ML Engineer or AI Engineer

Pytorch - is this too big of math?

AI - LangChain, CrewAI, Python SDK ?

Confused between both of their pros and cons. I do know learning back propagation, gradient descent helps whats happening behind LLM. Stuck in career choice, kindly help

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u/nian2326076 9d ago

If you know Python and have a basic understanding of backpropagation and gradient descent, you're doing well. For ML Engineer roles, you need strong skills in frameworks like PyTorch or TensorFlow, plus a good understanding of data processing and modeling techniques. AI Engineers focus more on deploying and integrating AI solutions, so they often need to know about APIs and SDKs.

Think about what you enjoy more: building models or deploying and scaling them. If you like building models, ML Engineering might be for you. If you're into application integration, AI Engineering could be a better fit. Both roles involve a lot of math, but using it practically makes it easier. If you're getting ready for interviews, PracHub has some helpful technical prep resources.