HCLTech

Global IT services and consulting company.

4 Rounds ~21 Days Medium
Start Mock Interview

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. Specifically, how does the self-attention mechanism work?

#Transformers #Attention Mechanism #NLP
Practice
Data Scientist • Technical • hard

How would you fine-tune a pre-trained Large Language Model (like LLaMA or BERT) on a specific enterprise domain dataset with limited compute resources?

#LLMs #Fine-tuning #PEFT #LoRA
Practice
Data Scientist • Technical • medium

What techniques do you use to prevent overfitting in Deep Neural Networks?

#Neural Networks #Regularization #Optimization
Practice
Machine Learning Engineer • Technical • hard

How would you fine-tune an open-source LLM like LLaMA 2 for a specific enterprise domain using LoRA?

#GenAI #LLMs #PEFT #LoRA
Practice
Machine Learning Engineer • Technical • medium

Compare Word2Vec, GloVe, and BERT embeddings. What are the trade-offs of using contextual vs. static embeddings?

#NLP #Embeddings
Practice
Machine Learning Engineer • Technical • medium

Explain the role of max pooling and dropout layers in a Convolutional Neural Network.

#CNN #Computer Vision #Regularization
Practice
Machine Learning Engineer • Technical • medium

Walk me through how you would use transfer learning to build an image classifier for a manufacturing defect detection system with very limited labeled data.

#Transfer Learning #Computer Vision
Practice
Machine Learning Engineer • Technical • hard

Explain the architecture of a Retrieval-Augmented Generation (RAG) system. How do you handle document chunking and vector retrieval?

#GenAI #RAG #Vector Databases
Practice
Machine Learning Engineer • Technical • hard

How does the YOLO (You Only Look Once) architecture differ from Faster R-CNN for object detection?

#Computer Vision #Object Detection
Practice
Machine Learning Engineer • Technical • medium

What is the vanishing gradient problem in Recurrent Neural Networks (RNNs), and how do LSTMs solve it?

#RNN #LSTM #Optimization
Practice
Machine Learning Engineer • Technical • hard

Explain the self-attention mechanism in Transformer models. How are the Query, Key, and Value matrices used?

#Transformers #NLP #Attention
Practice

Difficulty Radar

Based on recent AI-sourced data.

Meet Your Interviewers

The "Standard" Interviewer

Senior Engineer

Focuses on core competencies, system constraints, and clear communication.

Simulate

Unwritten Rules

Think Out Loud

Always explain your thought process before writing code or drawing architecture.

Practice Now