I attended a one-hour AI/ML interview focused on Machine Learning fundamentals and practical applications. The discussion covered ML algorithms, model selection strategies, evaluation metrics, feature engineering, optimization techniques, and deployment challenges. The interview included conceptual, problem-solving, and scenario-based questions to assess both theoretical understanding and practical experience in AI/ML.
Interview questions [1]
Question 1
The interview was primarily focused on Generative AI concepts and their practical applications. Questions covered Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, embeddings, fine-tuning techniques, and AI agent frameworks. The interviewer also asked scenario-based questions on designing GenAI solutions, selecting appropriate architectures for different use cases, handling hallucinations, evaluating model performance, and addressing scalability, security, and deployment challenges. Additionally, there were discussions around real-world implementation of GenAI applications, model optimization, and best practices for building production-ready AI systems.
Good and Short interview process
3 round of interview
1 take home assignment
1 round technical
1 round HR
each interview last 30min
Interviewer were supportive and helping
Whole interview take 1 week
I applied through university. I interviewed at Fractal (Bengaluru) in Jan 2021
Interview
1. Resume focused.
2. DSA and analytics based questions. Can include description based questions.
3. 3 rounds
4. For the behavioral round, be as genuine as possible. No specific criteria for it.
Interview questions [1]
Question 1
How I implemented a model during my internship?
How can I prevent online scams in e-commerce using data science?