It was two round of 1 hours each on site face to face interview, covering genai, classical ml, llm system design, problem soving questions, etcThe interview process consisted of two rounds, each lasting one hour, conducted face-to-face on-site. During these sessions, the discussion encompassed a range of topics including generative AI (GenAI), classical machine learning (ML) techniques, and the design of large language model (LLM) systems. The interviewers posed several problem-solving questions that challenged candidates to think critically and apply their knowledge in real-world scenarios. Each round aimed to assess not only the technical expertise of the candidates but also their ability to communicate complex ideas clearly and collaborate effectively. Candidates were encouraged to ask questions and engage in discussions, which further highlighted their analytical thinking and enthusiasm for the field. Overall, the interviews provided a comprehensive assessment of both the theoretical and practical aspects of machine learning and AI, giving candidates a chance to showcase their skills and experiences.

3 dsa questions on python3 and 10 MCQ 15 mins only total test 1.30hr done only Assessment round after clearing kaggle almost 100-200 candidatesI have seen offline, Used Lightgm and if score of above 87.5(found this threshold for my model) than given anomaly 1 other wise 0 in problem statement in kaggle got me 24 rank. I'm weak on dsa coding side but it seems to be doable for average coders