Wipro
Global information technology, consulting and business process services 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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Behavioral
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medium
Tell me about a time you had to explain a complex machine learning model's predictions to a non-technical business stakeholder or client.
#Stakeholder Management
#Explainable AI
#Consulting
Machine Learning Engineer
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Behavioral
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medium
Describe a situation where a client changed the requirements of an ML project halfway through the development cycle. How did you handle it?
#Agile
#Adaptability
#Client Management
Machine Learning Engineer
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Behavioral
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easy
How do you prioritize tasks when working on multiple client deliverables with conflicting and tight deadlines?
#Time Management
#Prioritization
#Consulting
Machine Learning Engineer
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Behavioral
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medium
Tell me about a time your machine learning model performed well offline but failed or degraded in production. What was the root cause and how did you fix it?
#Troubleshooting
#Production ML
#Lessons Learned
Machine Learning Engineer
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Behavioral
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medium
How do you ensure your machine learning models comply with data privacy regulations like GDPR or HIPAA?
#Data Privacy
#Ethics
#Consulting
Machine Learning Engineer
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Behavioral
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easy
Describe a time you had to mentor a junior data scientist or engineer on your team. How did you approach their development?
#Mentorship
#Teamwork
#Communication
Machine Learning Engineer
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Coding
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medium
Write a Python function from scratch to compute the TF-IDF scores for a given list of text documents.
#Python
#NLP
#Text Processing
Machine Learning Engineer
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Coding
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medium
Write a SQL query to find the top 3 most frequently purchased items per customer in the last 30 days.
#Window Functions
#Aggregations
#Data Manipulation
Machine Learning Engineer
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Coding
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easy
Given a pandas DataFrame containing missing values and outliers, write a script to clean the data and prepare it for a logistic regression model.
#Python
#Pandas
#Data Preprocessing
Machine Learning Engineer
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Coding
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medium
Write a Python program to implement the K-Means clustering algorithm from scratch.
#Python
#Clustering
#Math
Machine Learning Engineer
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Coding
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easy
Given an array of integers representing stock prices on consecutive days, write a function to return the maximum profit you can achieve from buying and selling a stock exactly once.
#Arrays
#Optimization
#Dynamic Programming
Machine Learning Engineer
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Coding
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medium
Write a PySpark script to aggregate daily transaction logs into monthly summaries per user, calculating total spend and average transaction value.
#PySpark
#Big Data
#Aggregations
Machine Learning Engineer
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Coding
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medium
Write a SQL query to calculate the 7-day rolling average of daily sales for a specific product.
#Window Functions
#Time Series
#Data Analysis
Machine Learning Engineer
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Coding
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easy
Given a binary tree, write a Python function to find the maximum depth of the tree.
#Data Structures
#Trees
#Recursion
Machine Learning Engineer
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System Design
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hard
Design an end-to-end document extraction pipeline using OCR and Large Language Models (LLMs) for a healthcare client processing medical claims.
#NLP
#LLMs
#OCR
#Architecture
#Healthcare
Machine Learning Engineer
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System Design
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hard
How would you design a real-time recommendation system for an e-commerce client, ensuring inference latency remains under 50ms?
#Recommendation Systems
#Low Latency
#Caching
#Vector Databases
Machine Learning Engineer
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System Design
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medium
Walk me through how you would set up an automated MLOps pipeline for model retraining using Azure Machine Learning or AWS SageMaker.
#Cloud Platforms
#CI/CD
#Model Retraining
Machine Learning Engineer
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System Design
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hard
Design a predictive maintenance system for a manufacturing client using high-frequency IoT sensor data.
#IoT
#Time Series
#Streaming Data
#Predictive Maintenance
Machine Learning Engineer
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System Design
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hard
A retail client wants to forecast inventory demand for 10,000 stores. How do you design and scale this forecasting model?
#Forecasting
#Scalability
#Distributed Computing
Machine Learning Engineer
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System Design
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medium
Design a scalable architecture for a customer churn prediction model that needs to ingest data and update predictions daily for millions of users.
#Batch Processing
#Architecture
#Data Pipelines
Machine Learning Engineer
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System Design
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medium
How would you design an A/B testing framework to evaluate a new search ranking algorithm for a client's enterprise portal?
#A/B Testing
#Experimentation
#Search
Machine Learning Engineer
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Technical
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medium
How do you handle highly imbalanced datasets when building a fraud detection model for a banking client?
#Imbalanced Data
#Classification
#Fraud Detection
Machine Learning Engineer
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Technical
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medium
What is the vanishing gradient problem in deep neural networks, and how do architectures like LSTMs or ResNets address it?
#Neural Networks
#Optimization
#Architecture
Machine Learning Engineer
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Technical
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hard
Explain the architecture of a Transformer model. What specific role does the self-attention mechanism play?
#NLP
#Transformers
#Attention Mechanism
Machine Learning Engineer
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Technical
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medium
How do you evaluate the performance of a Retrieval-Augmented Generation (RAG) system deployed for a client's internal knowledge base?
#RAG
#LLMs
#Evaluation Metrics
Machine Learning Engineer
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Technical
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easy
What are the differences between L1 (Lasso) and L2 (Ridge) regularization? When would you choose to use one over the other?
#Regularization
#Linear Models
#Feature Selection
Machine Learning Engineer
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Technical
•
medium
How does the XGBoost algorithm handle missing values internally during training?
#Tree Models
#XGBoost
#Missing Data
Machine Learning Engineer
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Technical
•
medium
Explain the concepts of Data Drift and Concept Drift. How do you monitor for them in a production environment?
#Model Monitoring
#Drift Detection
#Production ML
Machine Learning Engineer
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Technical
•
easy
What is the fundamental difference between a discriminative model and a generative model?
#Statistics
#Generative AI
#Classification
Machine Learning Engineer
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Technical
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hard
How do you optimize the inference speed and reduce the memory footprint of a Large Language Model (LLM) for a production application?
#LLMs
#Optimization
#Quantization
Machine Learning Engineer
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Technical
•
medium
Explain the ROC curve and AUC. In what specific scenario would you prefer using Precision-Recall AUC over ROC AUC?
#Evaluation Metrics
#Classification
Machine Learning Engineer
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Technical
•
medium
What are the trade-offs between using a proprietary pre-trained LLM via API (e.g., OpenAI) versus fine-tuning an open-source model (e.g., Llama 3) locally for a client?
#LLMs
#Strategy
#Cost/Benefit Analysis
Machine Learning Engineer
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Technical
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medium
Explain how Word2Vec works. What is the difference between the Continuous Bag of Words (CBOW) and Skip-gram architectures?
#Embeddings
#Word2Vec
#Neural Networks
Machine Learning Engineer
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Technical
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hard
What is SMOTE, and what are its limitations when dealing with high-dimensional data or text data?
#Imbalanced Data
#SMOTE
#High Dimensionality
Machine Learning Engineer
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Technical
•
medium
How do you handle categorical variables with extremely high cardinality in a tree-based model versus a linear model?
#Feature Engineering
#Categorical Data
#Modeling
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.