Surprisingly straightforward — I expected a tougher challenge for a machine learning role. After a quick recruiter screen, the first technical round focused on implementing K-means clustering, which felt familiar. Handling edge cases for empty clusters was tricky, though. What really helped me prep were the algorithm explanations on PracHub, which gave me confidence going in. The final interviews were a mix of problem-solving and behavioral questions, and in the end, I received an offer that I accepted. Overall, it was a decent experience.

The first round was mainly a CV walkthrough. The second round focused in depth on one specific project. Both rounds also included LeetCode medium-level problems. The third round was with the hiring manager with both project and problems for their business.