The interview process was smooth and well-structured. It started with a short screening call where they asked about my background and projects. The main technical round focused on core ML and deep learning concepts, along with a few scenario-based questions to assess problem-solving. They also discussed my previous work in detail, especially any hands-on experience I had with models and data preprocessing. The interviewer was friendly and asked thoughtful follow-up questions. Overall, it was a balanced process that tested both theoretical knowledge and practical application.