Various, including: What was the last academic paper you read? What is the architectural foundation of recent LLMs? One of the take-home exercises required developing a basic ML classification pipeline for audio data (an interesting problem, at least!)
What are the best software engineering practices?
Past work experience in Data Science
Explain in detail how you executed a deep learning project end to end
Tell me about an ML project you worked on. What was the question you were answering, describe the data, what model did you use, and what were the results?
Few questions on SQL, coding and DS Prediction problem or may be matching
I was given a text and was asked would I build a ML model for it
Waaraan erger je je bij andere mensen in groepsopdrachten?
ML system design, python+sql coding interview, technical questions about data science
Technical interview: A few basic problems were sent a week before the interview, covering data science/processing topics such as data cleanup, extrapolation, training a decision algorithm, analyzing sentences. HR interview: "We would like to use machine learning to do this, but we face such and such problem. How would you handle that issue." is representative of most questions during that interview...
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