There was an initial screening by the HR team and then one 2-hour technical interview regarding everything around applied data science. After that, there was an additional 1-hour technical interview around MLOps and engineering (incl. live coding and code review) followed by a final interview with HR mostly around Kaizen culture and some team leading-related questions. The overall process was very quick, all people were friendly and there was no take-home exercise which meant there was less time needed to devote in the interview process.

I was first contacted by a recruiter and setup a one hour interview. The recruiter knew a lot about the position and was very helpful. We discussed my background, company fit, values, starting date and salary expectations. Unfortunately the company offers rather low salaries for the skillset they are asking for. After that I had a technical interview. The interview was very well designed and went through a case study about a grad detection system. We explored the problem, talked about stakeholder management but also dove very deep technically.