You have a linked list of numbers, how would you return the median ? Follow up, what is the worst case performance?
Junior Machine Learning Engineer Interview Questions
6,577 junior machine learning engineer interview questions shared by candidates
Behavioral question: do you have any experience of over-delivering the job?
Standard recruiter questions, nothing out of the blue.
How can u statistically interpret ridged regression?
Design question - Improve your performance and reliability in a given data pipeline.
How many balls are in a pool?
Tell me about a time you overcame a challenge at work.
I won't give details about the question as I respect the confidentiality of the interview. However, to give a general feeling, I think it doesn't hurt to mention the following. For example, code a class that implements a very popular ML algorithm. Even if the algorithm is very simple there are lots of possible improvements and generalisations, how to make it robust, efficient etc. Same thing for a class storing common data formats: dataframe, time-series, etc... how would you efficiently code access methods and/or storing according to the features of these data types?
Questions on Custom Kmeans, GenAI, VectorDB, design, approach to solve the real time techincal problems, with scalability, etc.
Q: My profile Q: Why we are discussing Q: Why MLE
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