How to traverse the graph
Machine Learning Engineer Intern Interview Questions
8,208 machine learning engineer intern interview questions shared by candidates
DSA was asked mostly times
What all feature would design for Spam Email Detection System - ? Could be natural language or anything as well in terms of feature
First round was a non-technical but complete assessment of behavioural scenarios, including a few questions on the candidate's long-term professional ambitions, as well as inquisitions on your general knowledge on AI as well as on the company itself. Second round was a technical and knowledge-based interview on many scientific concepts, testing the candidates on both their understanding of classical ML algorithms as well as their knowledge on more recent developments. Your problem solving approach may also be tested through a live-coding challenge. Final round was a technical homework assignment to be completed in a week, and later presented to the team, followed by a Q&A to understand your approach and decisions.
A long and in detailed discusssion about my research. Recruiter was very well prepared, read my papers and asked about some details
General questions about machine learning, training data split, computer vision ANNs, transfer learning, metrics, past experiences etc. Focused leetcode style coding question.
What is the difference between K-Means and KNN algorithms, in which situations would they be applicable?
Why do i want to work at CTM
Code pairing round involved solving some failing test cases and implementing a machine learning based solution on a problem
yes , i have no question
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