Candidatei-me online. O processo levou 1 dia. Fui entrevistado pela Wipro (Bengaluru) em set. de 2024
Entrevista
Went well with good technical discussion cover most of the areas of data science covering traditional machine Learning, deep learning and large language models, stastical approaches, unit testing and deployment aspects
Candidatei-me por meio de recrutador(a). Fui entrevistado pela Wipro em jun. de 2025
Entrevista
Interview process was smooth. Two technical rounds where basic python and AI ML concepts were asked . There were some scenario based as well as project based questions. The next round was client round which was much more difficult than wipro internal rounds. Indepth knowledge of GenAI was tested. Overall the experience was good. Talent acquisition who was processing every steps made the process very smooth and fast
Perguntas de entrevista [1]
Pergunta 1
How RAG works, Why do we need vector database, what was the chunk size you used in project, why did you use that chunk size, How BERT works and its limitations, a practical code to find second largest element in list using python and much more
Candidatei-me online. O processo levou 1 semana. Fui entrevistado pela Wipro (New York, NY) em abr. de 2025
Entrevista
The interview process at Wipro for the AI/ML Engineer role was structured and thorough. It included an initial HR screening, followed by two rounds of technical interviews. The first technical round focused on core ML concepts, Python coding, and problem-solving. The second round involved scenario-based questions on deploying ML models, MLOps, and working with cloud platforms like AWS. The final round was a managerial discussion focused on team collaboration, project experience, and cultural fit. The interviewers were professional, and the process moved efficiently.