Capgemini
Global leader in partnering with companies to transform and manage their business by harnessing the power of technology.
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
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Technical
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easy
Explain the bias-variance tradeoff. How do you know if your model is suffering from high bias or high variance?
#Model Evaluation
#Overfitting
#Underfitting
Machine Learning Engineer
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Technical
•
medium
How do you handle highly imbalanced datasets in a classification problem for a fraud detection client?
#Data Imbalance
#Classification
#Fraud Detection
Machine Learning Engineer
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Technical
•
medium
Explain the difference between Bagging and Boosting. Give examples of algorithms for each.
#Ensemble Methods
#Random Forest
#XGBoost
Machine Learning Engineer
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Technical
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hard
How does XGBoost handle missing values under the hood?
#XGBoost
#Missing Data
#Tree Algorithms
Machine Learning Engineer
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Technical
•
medium
What are the mathematical and practical differences between L1 (Lasso) and L2 (Ridge) regularization?
#Regularization
#Linear Models
#Feature Selection
Machine Learning Engineer
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Technical
•
medium
How do you evaluate an unsupervised clustering model when ground truth labels are not available?
#Clustering
#Model Evaluation
#Unsupervised Learning
Machine Learning Engineer
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Technical
•
medium
What is the difference between generative and discriminative models? Provide examples of each.
#Generative AI
#Classification
#Statistics
Difficulty Radar
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The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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Think Out Loud
Always explain your thought process before writing code or drawing architecture.