dimensionality reduction
Machine Learning Engineer Interview Questions
6,174 machine learning engineer interview questions shared by candidates
Implement all-reduce across processes with limited APIs.
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.
How do you understand backpropagation
API Implementation, ML system implementation from scratch.
Non-ML algorithms for splitting compound words in German
RNN vs LSTM
Every interview has a Coding question. They want just the approach. All the rounds are technical. There are only few behavioural questions here and there.
Coding assessment - 3 coding questions - I've been coding in python for less than a year and I only practiced a couple of questions on Codility but I was able to get a score of over 80%. Someone with more experience should be able to score 100% easily. HM interview - Background - Machine learning experience - Years of experience
- 4 HackerRank easy-medium coding and SQL questions - Behavioural questions on recorded video
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