The interview process started with an online screening round focused on basic machine learning concepts, data structures, and problem-solving. This was followed by two technical interviews covering ML fundamentals, model evaluation, Python coding, and real-world use cases. The final round was a behavioral discussion with the hiring manager, focusing on past projects, teamwork, and communication skills. Overall, the process was structured, professional, and well-organized.