Which is better for Career growth: Gen AI or Traditional Data Science.

I received an offer in these roles and having difficulty choosing one. Some say that Gen AI will boom and we should switch to Gen AI now. I have worked 3 years in Traditional ML and 1 year in Gen AI.

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Having 9+ years of experience in ML across Product & Strategy, I'd like to say that : Keep you fundamentals about traditional ML clear but also ride the latest tech wave for better salary packages

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Sure

Recently I had an interview recently I had an interview for Sr Data Scientist role,
The panel started with Python and continued roasting on stats, probability, Classical ML and Deep Learning.
He only asked two high level GenAI questions and said same deep roast in next round for NLP and Time series.

I was surprised, cause last few interviews were only focused on GenAI as my last project was with RAG based GenAI agent.

I asked him, why this difference? His reply was, " This is wave of new tech, will stay for some time and yes there is demand in market. But if you stay longer with us, after some time, clients, Financial Institutions will ask for Classical skills, and that's where you will be deployed.

Don't see better thinking than this

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Genai without traditional ML knowledge doesnt make sense.

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Gen AI cannot solve all the problems.

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Generative AI

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