Three rounds of interview in total. The first interview focus on more technical or role- specific questions. The second round is case study presentation. Conversations shift toward company values, leadership alignment, and cultural fit when you near the final stage
3 rounds, 2 technical and 1 hr
Technical on basic ml and rag based
Decision trees, random forest,etc and classic rag structure, vector db, llm, etc
What the heck why is it asking so many words
Two technical round and a hr round. Asked questions from resume, ml projects, gen ai, llm, rag etc. Asked if I have done some courses in ml and dl. Before the interviews there was an online test consisting of aptitute and reasoning questions along with data interpretation.
Interview questions [1]
Question 1
What is batch normalisation? What are ways to optimise a reinforcement learning algorithm?
