ML model design was about how to extract text from images. Specifically semi-structured text like street signs or licenseplates from random photos.
Senior Machine Learning Engineer Interview Questions
619 senior machine learning engineer interview questions shared by candidates
Round 1 coding interview: 2 leetcode easy
Coding questions were medium leetcode questions and can be done with some prep. system design and ml system wasn't too hard. I couldn't do senior level on ml system design. it's more complicated than educative examples.
Coding Round - Count Possible Decoding of a given Digit Sequence
Explain each and every small detail about project
Things like "describe self-attention mechanism", "how do RNNs differ vs. transformers", "how do you use propensity scores in AB tests"
5 DS questions spread over 2 phone rounds ML questions - Precision, Recall, Clustering algorithms Resume Assignment focused on finding document similarity
Technical phone screen with recruiter involved my civil engineering background in tandem with Data Science
They asked me to explain a complex ML project in simple language, including the problem, the approach, and the business impact. I answered by walking through a project where I built a predictive model from raw data, explained why I chose a certain algorithm, described how I handled model performance issues, and shared the final results and impact.
Como você resolveria esse problema de dados utilizando a AWS? Você tem disponibilidade para trabalhar híbrido? Conte me sobre suas experiências.
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