test de calcul mental de 20 mins
Machine Learning Engineer Interview Questions
6,173 machine learning engineer interview questions shared by candidates
ML based take home assignment - follow up and discussion on assignment. Behavioral round with director of engineering for team fit.
Solve a usecase of a client, how would you apply Machine Learning in this case
During the historical data collection period (of some given time series data about wind turbine bearing temperature), several wind turbines had generator bearing problems. Four wind turbines had generator bearing failures and replacements. The symptom of bearing fault is rising temperature beyond normal range. The task is to build the ML model to detect anomaly in generator bearing and identify wind turbines that shows generator bearing defect. You are required to submit the following: List of WT’s that are suspected to have a generator bearing defect during the data period including 4 that had change out, Result showing the reason for diagnosis, and the code associated with the aforementioned. You are then given ids for wind turbines that had NO generator bearing defect (healthy).
technical interview, which is nothing more than a rather long talk (90 min) in which you are asked about very basic concepts of data science, machine learning, software development, and some big data. It's quite easy, really.
Normal coding question same as past year questions
2 online simple exercises using python programming to test the candidate ability to write a python script.
Describe CI/CD tools that u used
Basics
Describe your biggest project. How to deal with noise in data (NLP).
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