The questions were about machine learning algorithms
Machine Learning Engineer Interview Questions
6,180 machine learning engineer interview questions shared by candidates
What is the difference between supervised and unsupervised learning? What is overfitting, and how can you prevent it? What is the purpose of splitting a dataset into training, validation, and test sets? How do you evaluate a classification model? Name some common metrics.
Implement a map, include put, get, delete methods
Applicable: Leetcode question, system design and cultural fit questions
A medium leetcode question for the live coding interview. An ML system design problem as expected. And the behavioral one was according to the profile.
Cloud platforms and services for machine learning, such as AWS, Google Cloud, or Azure and experience using these platforms
Find first non-repeated item from a data stream
1. Computer Science questions - sorting, searching, data structure, binary tree. Actual code writing and walkthrough. How to optimize. Big O notations. Efficiency is always a key component here. 2. Machine learning and deep learning questions. Everything from supervised to unsupervised learning. What are the linear classifiers? Explain how CNN works, random forest, recurrent neural network. Clustering. Nearest neighbors. I think we gone through all the topics in machine learning. 3. System design. How to search efficiently. Explain previous experience or projects implemented etc.
Talk about the reasons why you chose Visium in particular. Why Visium and not any other consulting company?
Name a time when you were working on a team and had a difficult team member.
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