Viene inviato un pdf con 3 domande: - 1. (Python) manipolazione di stringhe molto elementare, non servivono regex ma solo slicing - 2. (Python) ulteriore manipolazione di stringhe sempre elementare che si risolveva con slicing e c'erano diverse possibilità di soluzione a diversi livelli di ottimizzazione - 3. (SQL) più complessa, veniva richiesta una query nested con un JOIN e l'utilizzo del MAX operator su date
Linked list, array related dsa stuff
Resume deep dive Machine Learning DevOps, Power BI, SQL
They were big on attendence
In the coding round, they gave you a scenario and let you pick a language to solve the problem. You choose your own IDE. The algorithm used is not hard but the scenario is a little mess and there are edge cases you need to find by yourself. In ML round, they just gave you a problem in 1-2 sentences, and you need to lead the conversation to solve the problem. It's open-ended and like the case study in DS interview, which does not require you to explain how to implement.
Why are you interested in the company?
Do you have years of experience in NLP? Interviewer didn’t know a word other than NLP
[HR interview] - Tell me 2 words that better describe you.
[Technical Interview] - How do you solve this particular problem (summarization with LLMs) using GCP?
Experience en deep learning, background
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