The interview process consisted of three rounds: a 30-minute technical screening focused on Python, PyTorch, and foundational ML concepts; a 1-hour technical deep-dive covering Generative AI, RAG architecture, LLM fine-tuning with LoRA/PEFT, and MLOps on AWS SageMaker; and a final 45-minute behavioral round with the hiring manager discussing past projects, impact metrics, and system design. The recruiter was responsive throughout, and feedback was provided within 3 business days after each round
