Me postulé a través de una recomendación de un empleado. El proceso tomó 2 semanas. Acudí a una entrevista en Fractal (Mumbai) en feb 2019
Entrevista
The internview process begin with an informal call with the HR, followed by a rigorous telephonic interview round. In the telephonic round, I was grilled over my CV and asked questions based on it. Third round was an online written test consisting of SQL and Python problems. The last round was again an HR round based on knowing the company as well as me.
Preguntas de entrevista [1]
Pregunta 1
What is the difference between Branch Coverage and Line Coverage in context of software testing?
Thank you for sharing a review of your experience interviewing with Fractal. We're happy you had a positive experience that resulted in the great outcome of your decision to join!
Fractal HC Team
Otras evaluaciones sobre las entrevistas para el cargo de Data Scientist en Fractal
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.
Preguntas de entrevista [1]
Pregunta 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
Mildly challenging and nice. I would probably reduce number of rounds, i had 4 of them. The first two were technical and third one was managerial. The last round was done for cultural fit.
