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
Data Scientist
•
Technical
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hard
Explain the architecture of Transformers and the concept of the self-attention mechanism.
#Transformers
#Self-Attention
#NLP
Data Scientist
•
Technical
•
medium
How do you prevent overfitting in deep neural networks?
#Overfitting
#Dropout
#Early Stopping
#Regularization
Machine Learning Engineer
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Technical
•
hard
Explain the architecture of a Transformer model. How does the self-attention mechanism work?
#NLP
#Transformers
#Attention
Machine Learning Engineer
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Technical
•
medium
What are the vanishing and exploding gradient problems in RNNs, and how do LSTMs solve them?
#RNN
#LSTM
#Gradients
Machine Learning Engineer
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Technical
•
medium
What are the key differences between PyTorch and TensorFlow? Why might you choose one over the other for a production deployment?
#Frameworks
#PyTorch
#TensorFlow
Machine Learning Engineer
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Technical
•
easy
What is the role of an activation function in a neural network? Explain ReLU and its variants.
#Neural Networks
#Activation Functions
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.