The following were involved in the selection process: 1. An online exam for the technical and aptitude rounds (verbal, logical, and quantitative). For my role, mostly deep learning and computational-based questions were asked. Aptitude was easy. 2. Group discussion for those who passed the written exam. My session's theme was "Can India become a 5 trillion dollar economy by 2024?". There were 6 participants in my group, and B.Tech and M.Tech were mixed. 3. The last round was the interview round. Both technical and HR questions were asked. They were very friendly and cooperative. I was asked questions about CFD, numerical methods, and deep learning. All the questions were mostly resume-based. For HR, I was asked a lot of team management and leadership-based questions.
Interview questions [1]
Question 1
Basic CFD and ML/DL questions. A lot of HR questions
I applied through a recruiter. I interviewed at ExxonMobil (Bengaluru)
Interview
questions asked from resume, problems given from company data working on NLP, time series forecasting and machien learning algorithms. they asked about recent advancements in NLP and how end to end product management done
Interview questions [1]
Question 1
in machine learning regression problem, can R2 be negative?
ExxonMobil's interview process includes application, screening, online assessments, technical and behavioral interviews, panel interviews, and a final interview, followed by background checks and an offer. It varies by role and takes weeks to com
