3 interview stages. First - competency based with some technical questions. Second - take home assignment of machine learning style problem. Presentation of solution, followed by technical questions. Third - interview with team lead, included technical and competency based questions.
Working experience with tasks performed in the previous job
Classification of emails using Machine Learning (asked to not use deep learning frameworks).
How would you assess the quality of a predictive model you’ve built? What metrics would you use?
Explain what I have accomplished. Their main area of interest was on NLP and time series analysis using DL
What is the most complex and analytically challenging project you have done? What are the results/insights? What is the part you enjoy the most/least?
Can you tell us about your academic background and initial experiences in the workforce? How have you been able to develop your skills throughout your academic career? What motivated you to pursue a career in the healthcare field? Can you discuss any projects or experiences that demonstrate your suitability for a technical role at Quibim? Are you comfortable communicating in English? How would you describe your personality? What type of activities do you enjoy doing in your free time? What interests you the most about working with us? Do you have any questions for us about the company or the role?
-what is a random forest?
What models did you learn in school?
They asked about joins and basic analysis questions
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