Lots of code-based questions, mainly on machine learning techniques. An interview was conducted with a panel of 4 people, and they also threw in some behavioral questions. The interview process was quite rigorous and included a variety of code-based questions that primarily focused on machine learning techniques, requiring candidates to demonstrate their understanding of algorithms, data preprocessing, and model evaluation. Conducted by a panel of four professionals, the interview not only assessed technical skills through problem-solving tasks and coding exercises but also included behavioral questions aimed at gauging interpersonal skills, teamwork, and conflict resolution. This comprehensive approach allowed the panel to evaluate both the candidates' technical expertise and their ability to fit within the organizational culture, creating a well-rounded assessment of each applicant.

An online face to face interview was scheduled shortly after applying for the position. There was one interviewer who asked questions at the meeting, which lasted about half an hour.