1. Mostly on Big data 2. One coding question
Ml Engineer Interview Questions
1,795 ml engineer interview questions shared by candidates
Got an email from the recruiter that a manager wanted to interview me for an internship position in his team. We scheduled the 2 video interviews spaced one day apart. The interview covered behavioral, technical(ML questions) and coding. Their was one ML design question. For the ML questions it was basic things like explain gradient descent, loss functions, difference between batch/stochastic gradient descent, difference between L1/L2 regularization and what they do and then questions about the projects I have worked on. It helps to understand the basics. Coding was leetcode easy (first interview) and medium (second interview).
First Technical Interview (Network, Programming, Linux, and DevOps technologies (git, ansible, .. etc)). Second Technical Interview (Machine Learning -Time-series analysis )
Detailed questions about the ML model you choose.
Build a RAG to integrate with launched chatbot's API
Questions test for actual ML / SWE knowledge
What type of ML model to choose based on the data available and the problem to solve.
model evaluation metrics, bias-variance tradeoff, overfitting, feature engineering, and real-world ML use cases.
- Coding round is a standard (medium-hard) leetcode question - Be prepared to answer questions about "classical ML" (e.g. traditional NLP methods, cross-validation, classifiers, etc.)
Various questions pertaining to statistics.
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