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.
Machine Learning Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,212 machine learning interview questions shared by candidates
General questions about machine learning, training data split, computer vision ANNs, transfer learning, metrics, past experiences etc. Focused leetcode style coding question.
They asked a python question similar to a leetcode question.
What is the difference between K-Means and KNN algorithms, in which situations would they be applicable?
Code pairing round involved solving some failing test cases and implementing a machine learning based solution on a problem
yes , i have no question
Director Round - Where roles and responsibilities were discussed. - They are expecting candidates should work more on the Python Backend work and a bit of Machine Learning work if any project turn up from client side. So somebody who are in to core Machine Learning, better stay away from Soroco as the job role is not so interesting as the JD says. I guess JD was copied from some other company's JD :P After this round, it was clear to me that they don't have much Machine Learning related work.
1. Questions about FasterRCNN and other object detection algorithms. 2. How to design a recommendation system for recommending similar T-shirts based on the viewed product as in e commerce websites. 3. In depth questions about CNNs
General deep learning questions (dropout, regularization, overfitting)
Advantages of logistic regression vs Random Forest
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