EY
Ernst & Young Global Limited, a multinational professional services partnership.
4 Rounds
~21 Days
Medium
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Machine Learning Engineer
•
Technical
•
medium
How do you handle highly imbalanced datasets, such as in a credit card fraud detection model where fraud represents 0.1% of the data?
#Classification
#Data Sampling
#Metrics
Machine Learning Engineer
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Technical
•
easy
Explain the difference between Bagging and Boosting. Give an example of an algorithm for each.
#Ensemble Methods
#Random Forest
#XGBoost
Machine Learning Engineer
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Technical
•
medium
What are the key differences between L1 (Lasso) and L2 (Ridge) regularization, and when would you use each?
#Regularization
#Linear Models
Machine Learning Engineer
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Technical
•
medium
How does XGBoost handle missing values internally?
#XGBoost
#Algorithms
Machine Learning Engineer
•
Technical
•
easy
Explain the trade-off between precision and recall. Which is more important in medical diagnosis vs spam detection?
#Metrics
#Evaluation
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
SimulateUnwritten Rules
Think Out Loud
Always explain your thought process before writing code or drawing architecture.