1) SQL queries 2) coding questions\ 3) analytical questions like work, days, workers...etc 4) Your approach to solving the problem
Learning Engineer Interview Questions
6,587 learning engineer interview questions shared by candidates
What is coherence and cohesion?
Techniques to reduce overfitting and explain them.
How to handle missing numerical row values in CSV file?
What is overfitting and underfitting?
Design a camera/lidar based CV engine for self driving cars.
What will you do if one of your team member is not delivering the code on-time?
LeetCode medium level question. Deep Learning fundamental questions. Questions about my deep learning project or paper.
Probability, classical/deep machine learning, algorithm
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.
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