Hi Fishes, Need opinion on prioritising the below based on work life balance, annual increments, exposure for Lead data scientist role.

Total experience 9 years

1. Takeda pharmaceuticals
2. Alcon
3. Chubb
4. Beghou Consulting
5. Capgemini

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Basic ml questions: bagging, boosting, xgb model understanding
Questions on MLOps- deployment using cloud services
Genai- RAG design, agentic AI frameworks autogen, crew, langchain, questions on transformer architecture in how attention works,
Latency and cost optimization for llms, fine tuning generation models, temp, top p, top k sampling

These were some of the generic questions raised during most of the interviews attended

U might be given some case study or system design questions depending on the company u give interview for. Alcon gave me a use case on users who have purchased lens pack, how do we send emails to the users in the right before packs stocks out.

There is no right answer for the above, it's just ur thought process using AI is expected

Will add more if i remember. Hope this is useful. Thanks

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How should I find you?

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Takeda. They are new in India on the Software and engineering side, so the hikes will be good and promotions too.

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Yea, makes sense

Takeda is good

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Thank you!! Considering takeda as of now

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What's your tech stack?
And some brief info bout interview preparation, what all was asked

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Data science, NLP, gen AI , AWS

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Please help us with interview questions.

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What if your cctc & ectc

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I thought I would get a very high salary for experience in AI/ML and GenAI, but seeing your salary makes me feel I might be overpaid. I am on NP and have two offers of 40+ LPA. I'm a fullstack JS (Node + React) developer with 9 YOE.

Hi

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