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Learning Designer Interview Questions
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How to deal with heavy traffic (if the model is deployed on AWS)?
Q: Given a dataset, setup a feature engineering pipeline.
How would you create a text file uploading backend and relay progress of a "ml process" back to the UI.
Basic questions from : Bias and Vairance trade-off, CNN, SVM with a little twist. Decision Tree, Random Forrest. Pros and Cons of these techniques. Detailed discussion on any Deep learning Architecture. ex: Transformers, wav2letter++ etc.
Please describe an advanced machine learning method, more advanced than CNN or RNN.
The questions are based around a personality assessment so are structured around a persons perceived "weak" points. The panel will have a set of questions which an academically validated platform prompts.
Why I am interested in their company?
Asked questions about my experience with Generative AI.
90 min technical round - Run through the resume - Whiteboard system design with a verbal explanation (supply chain-related ML solution) Take-home assessment - System design for recommender engine Hiring manager call - Trees, regression ML question
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