I really enjoyed the entire process with each and everyone at every stage of the interview. The expectations were very optimistic and mostly focused on the approach of how to tackle when a problem is at hand. 1. Architecture on how to deploy ML models at scale. 2. Deep learning architecture. 3. Building a language model along with approach to building features. 4. Approach to problem solving. 5. Handling disagreement between colleagues.
Attendance history
Please send resume, driver license
Where you live and what area, they will google it!
Name a type of model you typically work on
Hours and schedule for work
What were my strong points
The 2hr offline technical included a long string comma-separated data. Asked for training a model on the data.
Describe your favourite machine learning algorithm and how it works. What are the weights and what exactly is the input and output of this algorithm,?
Rank most important thing about work: quality, safety, production, and attendance
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