DXC Technology
American multinational B2B IT services provider.
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 bias-variance tradeoff. How does it apply to Random Forests compared to single Decision Trees?
#Ensemble Methods
#Model Evaluation
#Theory
Machine Learning Engineer
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Technical
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medium
How do you handle highly imbalanced datasets, such as those found in enterprise fraud detection?
#Data Imbalance
#Fraud Detection
#Metrics
Machine Learning Engineer
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Technical
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hard
Explain how Gradient Boosting works. What are the key differences between XGBoost and LightGBM?
#Boosting
#XGBoost
#LightGBM
Machine Learning Engineer
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Technical
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medium
What are the core assumptions of linear regression, and how do you validate them before deploying a model?
#Linear Regression
#Statistics
Machine Learning Engineer
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Technical
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easy
How does L1 (Lasso) regularization differ from L2 (Ridge) regularization mathematically and practically?
#Regularization
#Feature Selection
Machine Learning Engineer
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Technical
•
medium
How do you evaluate the performance of an unsupervised learning model like K-Means clustering?
#Unsupervised Learning
#Clustering
#Metrics
Machine Learning Engineer
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Technical
•
easy
Explain the difference between bagging and boosting ensemble methods.
#Ensemble Methods
#Bagging
#Boosting
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
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.