Great work-life balance and benefits.
A purpose-driven culture.
Progression is time-based. There are a lot of distractions, and a low percentage of revenue-generating activities.
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
Online assessment (basic algorithms question), video interview automated (5 questions), two real interviews with real people (first one is a case study, second is overall questions). The interviews were easy, but one of my interviewers was 5 minutes
Two rounds, both technical in nature. The first round was a deep dive into projects, while the second was about past work experience. Both rounds grilled me on various concepts in AI.
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
Online assessment (basic algorithms question), video interview automated (5 questions), two real interviews with real people (first one is a case study, second is overall questions). The interviews were easy, but one of my interviewers was 5 minutes
Two rounds, both technical in nature. The first round was a deep dive into projects, while the second was about past work experience. Both rounds grilled me on various concepts in AI.