technical ones: Convolution layer and difference with a standard nn layer. coding: object oriented python question
Ml Engineer Interview Questions
2,751 ml engineer interview questions shared by candidates
data structures, running time and complexity in different situations and then gave me a tree problem to solve.
Tech round 1 (system design) Design AD ranking system given 10 million users How to manage when number of ads increase Tech round 2 (ML round) Question on dataset with 5 million rows 30 categorical columns 100 columns of numerical data in various range Missing data Targets - category, probability Design models for both the target How to clean the data Tech round 3 (Bar raiser) Discussion about previous experience Coding round: 2nd largest element in a sequence - O(n) complexity solution
Can you describe how you used large language models (LLMs) in your work? What types of neural networks have you worked with (e.g., CNN, RNN, GAN)?
Basic ML questions in round 1
Explain the difference between supervised and unsupervised learning. How do you handle imbalanced datasets? Can you explain the concept of overfitting and how to prevent it?
My academic and work experience, how I would've tackled an ML based issue What was my favourite ML model
Citez des projets avec un impact mesuré sur lequels vous avez deja travaille
Q: What are some features you would keep in mind when designing something? How you would keep up maintenance for it?
conflict between you and your professor
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