Company took three rounds - technical discussion, take home assignment and fitment. Technical discussion was simple with basic questions about metrics to score the model, imputation techniques etc. Take home assignment was supposed to be completed in a day or max 2 days post which there was another discussion on it.
Finally in the fitment round the person asked about class imbalance and ways to deal with it and about switching in 15 months. This was the worst part as the person started with I'll drop the call if the answers don't feel genuine and asked to build his confidence and there I was thinking that I'm interviewing for an engineering position. This line of questioning seems pointless as they were hiring a contractor so switching was a moo point.
The topics included model validation metrics, imputation techniques, and handling class imbalance, while the rest of the questions were from the take home assignment.
The following metrics were computed from 1 interview experience for the Panasonic ML Engineer role in Bengaluru, India.
Panasonic's interview process for their ML Engineer roles in Bengaluru, India is extremely selective, failing the vast majority of engineers.
Candidates reported having very negative feelings for Panasonic's ML Engineer interview process in Bengaluru, India.