1) Explain Bias Variance 2) Categorical Encoding 3) Deep Learning Models etc
Ml Engineer Interview Questions
2,750 ml engineer interview questions shared by candidates
Statistical Modelling - Logistic Regression
For technical interviews: code problems to solve, methods to implement to pass tests. Algorithms to recode from scratch. For non-technical interviews: to talk about my background and explain how I would react to certain professional situations.
Completely LLMs,rag and Agentic AI
Describe AI/ML engineer's project and follow up with questions based on description.
What is a convex function ? What is logistic regression ? (They expect to go deep in details, to give precise formulas etc...)
what is back propogation in DL.
diff btw recall vs precision with real examples.
What is overfitting and underfitting, and what causes each?
1. Project explanation 2. Questions on ML algorithms 3. AWS 4. SQL queries
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