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)?
Ml Engineer Interview Questions
2,750 ml engineer interview questions shared by candidates
Puoi spiegare il concetto di Regularization nei modelli di Machine Learning? Quali tecniche conosci e quando le utilizzeresti?
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
Interview questions was very easy. They ask only basic programming concepts.
Do you work in MDP Umich
Q: Sorting question Q: Digged deeper into my projects
Basic deep learning concepts like CNN architectures, RNNs and transformers.
Explain About Projects, various technologies used and Machine learning, deep learning concepts
Questions were related to the content that I provided in my CV.
Aptitude questions on time-distance, deck of cards, dice and similar were asked. Basic questions on ML algorithms. SQL question based on above topics. Python questions on pandas to group and plot visualization graphs. Array, list, tuple, DataFrame - based questions.
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