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.
Questions d'entretien [1]
Question 1
What is batch normalisation? What are ways to optimise a reinforcement learning algorithm?
J'ai passé un entretien chez Citi (Shanghai, Shanghai)
Entretien
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
