Infosys
Global leader in next-generation digital services and consulting.
3 Rounds
~14 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
•
hard
Explain the architecture of a Transformer model. Why has it largely replaced RNNs and LSTMs in modern NLP tasks?
#Transformers
#Attention Mechanism
#NLP
Data Scientist
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Technical
•
medium
How do you handle vanishing and exploding gradients in deep neural networks?
#Neural Networks
#Optimization
#Activation Functions
Machine Learning Engineer
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Technical
•
hard
Explain the Self-Attention mechanism in Transformer models. Why is it more efficient than RNNs for long sequences?
#NLP
#Transformers
#LLMs
Machine Learning Engineer
•
Technical
•
medium
What are the vanishing and exploding gradient problems in deep neural networks, and how do LSTMs or ResNets solve them?
#Neural Networks
#RNN
#CNN
Machine Learning Engineer
•
Technical
•
medium
Explain the concept of Word2Vec. What is the difference between the Continuous Bag of Words (CBOW) and Skip-gram architectures?
#NLP
#Embeddings
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.