Quantiphi ML Engineer interview questions

first, there was a technical round followed by 2 technical rounds and one HR round. Round 1: First round consists of 2 parts. 30 apti questions in 30 min and 2 small coding questions in 30 min. Round 2: He started with Tell me about yourself and then started asking questions about my CV(Projects mainly). How algorithm in my machine learning project works(LDA). Then he asked how many ML algorithms I know then he asked from where did I learn them. He understood that I am good with Java. As they needed someone who is good with programming for platform engineer he referred me to another interviewer for checking my Java skills. He asked me about modifiers, String args[] in main function, chmod 777 in terminal, string.substring(),difference between interface and abstract class, what is static how you call static variables in another class,……..

Technical discussion on background, take home Data Science problem testing data wrangling, data processing, feature engineering, model development, validation and testing, with visualizations. problem statement presentations - one or two, ML interview covering various concepts of ML, Deep Learning and cloud knowledge (if any) in depth