Made it through three rounds of interviews, 30 min recruiter screen, 30 min interview with a manager and then 60 round interview with a different manager and associate directer. The third round interview was much more technically in depth.
Questions d'entretien [1]
Question 1
Describe to me an embedding as if I was a technically competent mathmatics major
core ml questions, gen ai questions respect to RAG, ML pipelines, algorithms, real world experience.
the interviewer is focused on core ml concepts, but i only have gen ai experience
There will be five rounds: one telephonic, three technical, and one HR. Focus on strengthening your skills in data structures, machine learning, and artificial intelligence for success. There will be five rounds: one telephonic, three technical, and one HR. Focus on strengthening your skills in data structures, machine learning, and artificial intelligence for success.
Questions d'entretien [1]
Question 1
Explain the difference between supervised and unsupervised learning.
How do you handle imbalanced datasets?
Can you explain the concept of overfitting and how to prevent it?