It was a good interview process.First it started with introduction of myself. Then the interivewer asked about the advanced machine learning topics, Then he moved forward with the question, what is brute force in machine learning and what is best fit circle.
Programming question to be solved
How do you scale a LLM microservice if it has 10min cold start up time? How to load balance LLM service? How to scale up high servicec load? Whats the difference between ... and rerank? Explain why and how NN activation maps in consume GPU memory. Explain activation functions and its function in FFNs. What is LORA? How do you decrease model size (Quantization, etc)? How do you decide to shift to more complex model architecture (how do you evaluate that the simpler model reached its max capability)? More questions I don't remember
I was given a prompt and 3 different prompts and asked to pick one which should be most fitting.
Basic English questions to check profeciency
It was more of an English test for first assessment and critical thinking questions for the Psychometric assessment. But I want help with what to expect in Data Scientist Assessment.
It was for matching the pattern or finding the missing pattern
Describe your most recent experience.
explain Transformers ,KV cache , Attention..
Tell about yourself and something you are interested in
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