In the coding round, they gave you a scenario and let you pick a language to solve the problem. You choose your own IDE. The algorithm used is not hard but the scenario is a little mess and there are edge cases you need to find by yourself. In ML round, they just gave you a problem in 1-2 sentences, and you need to lead the conversation to solve the problem. It's open-ended and like the case study in DS interview, which does not require you to explain how to implement.
Machine Learning Engineer Intern Interview Questions
8,207 machine learning engineer intern interview questions shared by candidates
Why are you interested in the company?
Do you have years of experience in NLP? Interviewer didn’t know a word other than NLP
[HR interview] - Tell me 2 words that better describe you.
[Technical Interview] - How do you solve this particular problem (summarization with LLMs) using GCP?
Experience en deep learning, background
Machine Learning basic Concepts.and Resume based questions.
What is CNN and pooling?
Explain about bootstrapping and bagging
Machine Learning and Deep Learning questions
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