Me postulé a través de un reclutador. El proceso tomó 2 semanas. Acudí a una entrevista en Fractal (Bengaluru) en mar 2021
Entrevista
The interview process consists of an online test that revolves around concepts of Machine learning and deep learning, some questions from NLP too along with 2 modeling questions.
Once it gets cleared, then the series of interviews start. The first round is mostly a technical round, 2nd one is a combination of technical and business acumen testing. In all the rounds, your resume is the key start from where conversations and questions start.
The HRs are really supportive and good at following up regularly. Also, they make sure that you apply for a post that is most suitable to your resume and skills.
Preguntas de entrevista [1]
Pregunta 1
Autoencoders, CNN, RandomForest, Price optimization, Linear programming, Regression, Epidemiological models(based on my resume), generic questions about some of the key ML concepts like logistic regression, feature engineering and hyperparameter tuning.
Client round was more tough. Screening also was around Reinforcement learning. Which I happened to pass. But cannot pass the client round second time. The interview process was around Artificial Intelligence and RAG.
Me postulé a través de una recomendación de un empleado. El proceso tomó 1 semana. Acudí a una entrevista en Fractal (Nueva Delhi) en sep 2025
Entrevista
The whole process took almost a week, including 2 Technical interviews, 1 HR round and offer release. Many thanks to Jesvin for making all this possible in such a short period of time.
Coming to the interview
1st round started with basic Python questions and data manipulation, followed by questions on previous role, projects, agentic frameworks, RAG, and retrievers.
2nd round was more in-depth, with a focus on details about Agent implementations, MCPs, Evaluation and improvement techniques.
3rd round (HR) was much simpler, with questions related to previous work experience.
Overall, the process was quick, and every interviewer was supportive and gave feedback properly.
Preguntas de entrevista [1]
Pregunta 1
Difference between RAG and Agentic RAG
How to evaluate and improve the performance of a deployed model/agent
The interview process typically begins with resume screening, followed by an initial HR call to discuss background and expectations. This is succeeded by technical assessments or assignments to evaluate role-specific skills. Shortlisted candidates then proceed to one or more rounds of technical or panel interviews, where problem-solving, communication, and cultural fit are assessed. The process concludes with a final discussion, reference checks if required, and offer rollout to the selected candidate.