First Round: 1-1.30 hr long with all DL/ML-based questions. (I answered all of them) Second Round: Linear Algebra. (I performed good here also) Third Round: Live coding (Asked to code linear regression from scratch) (also completed) Fourth Round: Data Structures, Logical reasoning, and Scenario-based ML questions. (apart from a logical based question I answered all ) Fifth round: Computer vision round. All related to image-based questions and object detection algorithm. This round went very well as I was able to answer most of the questions.
Junior Machine Learning Engineer Interview Questions
8,207 junior machine learning engineer interview questions shared by candidates
Machine Learning Algorithms, Outlier Detection, Missing value imputation, etc.
Given a limited storage how would you store the CCTV Camera footage more efficiently.
They asked me ML question, we brainstorm for a design question and a 2 hours of coding.
Talk about how time series data can be useful
Given a three sided dice with the probabilities p(1)=0.2, p(2)=0.3, p(3)=0.5. What is the expected value?
How did you approach a project where you had little to no direction?
The take home was a detection problem and the report should include any model design decisions and performance. This was pretty open-ended. However, the future interviews did not reference this project.
Find the common parent of two numbers in binary tree.
Tell me a project you are proud of.
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