1st round introductory ML, DL, and NLP questions. 2nd round (with the hiring manager). Focused on resumes mainly projects and past experiences. 3rd round was a discussion on an open-ended NLP problem. 4th round was on projects of resumes and deeper discussion on the approaches for solving 1 or 2 NLP tasks.
Behavioural: tell me about a time you made a mistake at work Coding: simple tasks on live coding on data manipulation System design: how would you build a data product that did X Recap the challenge: why this model and present your results
All about past projects and my tech stack
Questions on dynamic pricing and optimisation.
Perchè vorresti lavorare da noi?
Use case su un algoritmo di scoring creditizio in ambito micro-lending
A dataset challenge and interpreting a data visualization
Do you have experienced in deploying ML solutions via cloud infrastructure?
Describe a technical project you worked on end-to-end.
[Techinical] - How would you handle imbalanced data sets? - How would you implement a model? [Product mindset] - How would you approach a problem if a company doesnt have any data for a specific product? - What would you do if you have conflicting ideas with a product manager?
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