I did my B.Tech in AI/ML where I learned core machine learning concepts like model training, evaluation, etc., and also completed an ML internship. However, my current job is in a different tech stack, and now I’m on the bench.
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I want to switch back to my original path and aim for roles like ML Engineer / AI Engineer. But I’m confused about what to focus on right now.
From what I see, many companies are now asking for GenAI skills (LLMs, LangChain, RAG, etc.), even for ML roles. So I’m unsure whether I should:
- Go deep into core Machine Learning again
- Focus more on Deep Learning
- Or directly start learning GenAI tools and frameworks
Given the current job market, what would be the best path to follow to become job-ready as an AI/ML or GenAI engineer?
Would really appreciate guidance from people working in the field
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