Flipkart
Indian e-commerce giant tackling massive supply chain and scale problems.
4 Rounds
~18 Days
Hard
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
•
medium
How do you handle severe class imbalance when training a model to predict Return to Origin (RTO) for Cash on Delivery (COD) orders?
#Class Imbalance
#Loss Functions
#Sampling Techniques
Machine Learning Engineer
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Technical
•
hard
Explain the architecture of a Two-Tower neural network. How do you perform negative sampling when training it for product retrieval?
#Deep Learning
#Information Retrieval
#Embeddings
Machine Learning Engineer
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Technical
•
medium
What is the difference between NDCG and MAP? Which metric would you use to evaluate Flipkart's search engine and why?
#Evaluation Metrics
#Information Retrieval
Machine Learning Engineer
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Technical
•
medium
How do you handle Out-Of-Vocabulary (OOV) words in NLP models, especially for Indian regional languages or transliterated Hindi (Hinglish)?
#NLP
#Tokenization
#Text Processing
Machine Learning Engineer
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Technical
•
medium
Explain the self-attention mechanism in Transformers. How does it scale with sequence length?
#Deep Learning
#Transformers
#NLP
Machine Learning Engineer
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Technical
•
hard
What is model quantization? How would you optimize a large PyTorch model to reduce inference latency on CPU instances?
#Model Deployment
#Optimization
#Quantization
Machine Learning Engineer
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Technical
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easy
Explain the bias-variance tradeoff. How do regularization techniques like L1 and L2 affect this tradeoff?
#Fundamentals
#Regularization
Machine Learning Engineer
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Technical
•
medium
How do you evaluate the quality of embeddings generated for Flipkart's product catalog before deploying them to production?
#Embeddings
#Evaluation
#Unsupervised Learning
Difficulty Radar
Based on recent AI-sourced data.
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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.