How would you prevent overfitting
Senior Machine Learning Engineer Interview Questions
621 senior machine learning engineer interview questions shared by candidates
Coding: 1. Linked list from scratch 2. Leetcode House robber problem Theory: LLM: Transformer architecture in depth Deep Learning: CNN, layers, activation functions, loss functions ML: Decision trees and random forest
1. Code Autocomplete feature 2. Find a unique character from the list of strings
Fairness ranking of search results
implement k-means with native python
classification NLP home-task: classify user intents based on chat messages in banking app. Then, technical interview with accent on metrics, how this solution could be applied in real system and how communicate results to products.
Describe a time when you disagreed with a stakeholder.
Take us through a project you've worked on.
1. Explain the E2E architecture of a multi-agent system that you have built? 2. Explain how BERT works? 3. How do you evaluate RAG system?
How optimization works in an ML model
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