The questions covered topics like the difference between logistic regression and linear regression, random forest, K-means clustering, and max pooling. Additionally, I was asked project-based questions, including which algorithms were used in my project.
Ml Engineer Interview Questions
2,750 ml engineer interview questions shared by candidates
what is translational equivalence in DL
what is a kernel in SVM
difference between supervised and unsupervised
What is the role of kernel in SVM?
About Data Processing and AI Models Focused on LLM'S
Asked in depth knowledge of LLMs (transformers) since my project was on LLM. also asked probablity, statistics questions.
SQL question based on the interviewers experience
Most of the questions were asked related to basic AI/ML concepts like Gen AI, RAG, Langchain etc. And some questions from the tools and techniques mentioned in our resume.
1. The difference between instance, semantic and panoptic segmentation; how do we decide which is the best strategy for a given set of images and classes? 2. Working of RCNN-family of segmentation models. 3. Generic questions on some computer vision concepts: CNNs, interpretability of feature spaces, self-supervised representation learning, etc.
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