Recruiter Screening call: Interest in teladoc? Salary expectation ML questions- Precision vs recall (example&formula), ROC curve, data processing steps During Technical interview: Tell me about yourself Previous work experience Explain academic projects Python code to find the even numbers in the list Python code to find the common elements in two lists
The HR call was very short and I did not get asked behavioural questions. The HRs are very nice and reply to emails very quickly. Then the technical interviews. It seems that they have a pool of questions that are shared with all engineers. So the first interviewer asked me backend questions even though I applied for MLE. The interviewer was nice about it when I told them that I have not learned certain topics in school. I was asked about the Machine Learning projects on my resume. They wanted to see how well you know the specific concepts and ML algorithms you used in these projects. For the coding challenge, I got a pretty easy question in the first round, about designing a cache. The question asked in the second round was quite difficult and required dynamic programming. Also, even though the interview started in Mandarin, the interviewer switched to English when I told them that I did not know technical terms in Chinese. We had no problem in terms of communication.
Tell us a bit about you as a person
Why do you want to work for Travelers?
What are your lessons learnt for key success factors in building a management and leadership development curriculum? How can we foster a learning culture?
Statistically explain decision tree model, and the parameters that influence the model...if you can get through this without being interrupted you'll pass
Explain your projects
dimensionality reduction
Interviewer asked classic hypothetical questions (single car seat and 1 of 3 people to accommodate..) to judge my competence for the job.
what is overfitting?
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