The interview process consisted of two rounds. First Round: The focus was on core image processing and machine learning concepts. The interviewer asked questions in great detail, probing into foundational topics to assess depth of understanding. In addition, I was given two coding questions, which were fairly easy and aimed at evaluating logical clarity and coding skills. Second Round: This round was similar in structure but slightly more advanced. It again covered CV/ML fundamentals, with a focus on in-depth understanding. There was one coding question, and I was asked to explain the logic behind my code thoroughly. This round also included behavioral and case-based questions. Some examples included: “Describe a failure you’ve experienced and how you reacted to it.” These were aimed at understanding how I approach interpersonal challenges and setbacks.