1.) Python programming - algorithms (string processing). 2.) Python programming - data processing (array manipulation, algorithms, recursion). 3.) Machine learning - model training and evaluation, practical use cases. 4.) Details about my Ph.D. research.
The process of PBFT protocol. I mentioned that in my CV, so I am not sure this question suits everyone.
Rate yourself on a scale of 1 to 10 and give explanation for your answer.
What is your current interest specific in computer science field ?
Onsite interview consisted of one hour research presentation and six technical interviews comprising of questions related to Machine Learning as well as coding. For coding please refer Leetcode. Most of the problems were easy. 2 Easy level and 2 Medium level problems from Leetcode. Machine learning questions were specific to the role and also in general the most common techniques like PCA, SVM, Backpropagation, Hidden Markov Models, Viterbi Algorithm, etc.
Deep Learning related questions and questions about my case solution (such as details on the algorithms used). Generic coding interviews such as sorting algorithms and OOP.
They asked a few ML questions.
Given a list of messages, aggregate evaluation metric
Signed an NDA so I cannot disclose it.
Mainly questions regarding background and potential fit in the position
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