Interview1: Machine Learning Scenario Design challenge, coding puzzle and DSA challenge
Machine Learning Engineer Interview Questions
6,160 machine learning engineer interview questions shared by candidates
What is reinforcement, Machine learning, Resume questions
Questions about previous ML experiance and then few questions prob and statistics
Why Artefact? What are your expectations? Salary Range When you can start? Experience in Python Study background Willing to relocate or not?
Using a dataset provided, train a machine learning model around forecasting
Introduction, then ask leet code, then another round asks another leet code and also a network design question, which I still don't know, let alone the answer. Next round, ask leet code again and behavioural questions about which one interviewer was a really bad person.
estimating probability distributions for certain properties of other distributions. like estimating distance between two variable of a sorted samples of uniform distribution.
L1 Round: The interview began with questions about my recent projects, followed by foundational machine learning topics like supervised vs. unsupervised learning, structured vs. unstructured data, data preprocessing, EDA, and data visualization techniques. I was asked about box plots, including Q1 vs. Q3 formulas and whiskers. They included 3–4 simple riddle questions and ended with an easy Python coding task to print a right-aligned triangle pattern: * ** *** L2 Round: This round focused on deeper discussions about recent projects, LLMs, and Generative AI use cases. One scenario-based question involved integrating AI into a healthcare website to flag incorrect prescriptions via UI warnings. Other questions covered APIs, securing localhost environments before deployment, writing and giving examples of test cases, and long-term career goals. Finally, they revisited salary expectations.
Explain various statistical concepts to a non technical person
how you solved a tough situation in your project when all got stuck?
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