Tech Mahindra
Multinational IT services and consulting company.
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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medium
Explain the difference between Random Forest and Gradient Boosting. Which would you use for a highly imbalanced dataset and why?
#Ensemble Methods
#Classification
Machine Learning Engineer
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Technical
•
medium
What is the Curse of Dimensionality, and how does Principal Component Analysis (PCA) help mitigate it?
#Dimensionality Reduction
#PCA
Machine Learning Engineer
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Technical
•
medium
Explain L1 and L2 regularization. When would you prefer Lasso over Ridge?
#Regularization
#Linear Models
Machine Learning Engineer
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Technical
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hard
How does XGBoost handle missing values internally?
#XGBoost
#Tree Models
Machine Learning Engineer
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Technical
•
easy
What are the differences between bagging and boosting?
#Ensemble Methods
Machine Learning Engineer
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Technical
•
medium
Explain the difference between generative and discriminative models.
#Theory
#Modeling
Machine Learning Engineer
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Technical
•
easy
Explain the bias-variance tradeoff. How do you know if your model is overfitting?
#Theory
#Model Evaluation
Machine Learning Engineer
•
Technical
•
medium
Explain the concept of cross-validation. Why is time-series cross-validation different from standard K-Fold?
#Validation
#Time Series
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.