Great work-life balance, pretty much no work.
It's hard to get any projects due to poor resource allocation. If you're on the bench too long, you get let go.
Improve resource allocation and actually develop some good tech.
Two rounds were conducted. The first round was fine. The second round focused on ML basics and statistics, rather than advanced AI or computer vision. As Data Science is domain-specific, it's expected that HR would schedule interviews for AI/Engin
Pre-recorded interview and OA. I was rejected before I could submit my video interview, so I do not know what happens after. They asked questions regarding behavior, and then one easy question and one hard one for the OA.
Applied through LinkedIn via a friend's referral link. About two weeks later, I was contacted for an interview with a Principal Data Scientist & Tech Lead. The interview was 95% technical, primarily about LLMs and NLP. After that, I had an intervie
Two rounds were conducted. The first round was fine. The second round focused on ML basics and statistics, rather than advanced AI or computer vision. As Data Science is domain-specific, it's expected that HR would schedule interviews for AI/Engin
Pre-recorded interview and OA. I was rejected before I could submit my video interview, so I do not know what happens after. They asked questions regarding behavior, and then one easy question and one hard one for the OA.
Applied through LinkedIn via a friend's referral link. About two weeks later, I was contacted for an interview with a Principal Data Scientist & Tech Lead. The interview was 95% technical, primarily about LLMs and NLP. After that, I had an intervie