Three interview rounds: first focused on resume and ML basics, second on ML concepts, resume discussion, puzzles, guesstimates, and third HR round with cofounder on motivation. No deep learning; overall easy.
It consisted of 2 rounds of discussion where 1st round was ML and Mathematics heavy. They went deep into the ml algorithms which I mentioned in the CV. 2nd round was managerial round where the senior leaders asked the motivation to work in data science domain and my journey till now. Then, finally discussion with the HR about my background and I was selected for the role.
Interview questions [1]
Question 1
About ML algorithms like linear, logistic regression, SVM kernel trick concepts, Deep Learning concepts like embeddings and related to my projects.
