1. Describe your academic background and projects you have worked on. 2. If you have to classify if a bone is fractured or not, what would you do? Explain your approach. 3. What is Region of Curve, this is actually ROC-AUC, just a different terminology used for the same. 4. Explain the confusion matrix and its corresponding terminologies. 5. Would you have to make any changes to the above Model after 6 months? 6. Any projects on Unsupervised learning?
What is LSTM and GRU
Tell me about a recent coding project
What are your experiences with classification? How did you design your ML pipeline?
About Cloud concepts, Security, Kubernetes etc
Data structures: internals of a hashmap, linkedList vs arrayList, TreeSet vs HashSet, LinkedSet vs TreeSet, PrefixTree (Trie)
construct a join between 3 tables with some constraints
wavenet, time seriers
I appreciated the depth to which various interviewers wanted to understand what I was looking to get out of a role with PhysicsX, and ensure that we were a good fit for each other.
This was effectively a ML system design question for a entry level position. It's not hard to guess what one could be given that they are effectively trying to solve problems in supply chain. Hint: Try to look up ML system design questions at companies like Uber.
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