Description: HouseSigma’s the most used real estate platform in Canada. We are able to collect huge amounts of user activities data. The objective is to build a recommendation engine that is able to recommend relevant real estate listings to users in real time based on the user's past activities. Goal: You are provided sample user activity data in json format. Note that due to the volume of user activity data, it’s stored in Mongodb in Json format. Please use machine learning techniques to build a recommendation engine that recommends relevant listing content to users.
Ml Engineer Interview Questions
2,751 ml engineer interview questions shared by candidates
They asked me about the GSM technology used in maha Kumb mela to handle traffic.
What is Positional Encoding? Bagging vs Boosing, transformers architecture. Some SQL questoins.
ML algorithmas and Project work
About My skill and Projects
Explain the differences between random forests and neural nets.
They asked about my Skills ,Projects and interest.
2nd interview was related to the assignment. They asked about the approach and why it would/wouldnt work.
Self-introduction. Why do you want to work in this field? What are your opinions on LLMs? Are you willing to relocate to New York?
For the most part they were basic probability and coding. After reading other reviews, I seem to think they're recycling the interview problems: - Basic high-school probability and number puzzles. - The CTO wanted to implement a linked list, and reverse it (extra credit for in place reversal in a single pass). - One of the engineers tried to prove he was smarter than you but providing very sparse details on his problems. It was also a bit annoying when he didn't acknowledge any correct answers and simply wanted to move on to the next problem.
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