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
Senior Machine Learning Engineer Interview Questions
620 senior machine learning engineer interview questions shared by candidates
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?
Fairness ranking of search results
1. Code Autocomplete feature 2. Find a unique character from the list of strings
Basics on your past experience
How optimization works in an ML model
implement k-means with native python
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