Envié una solicitud electrónica. Acudí a una entrevista en Target (Bengaluru) en dic 2025
Entrevista
The interview process was well-structured, covering DSA and MLOps-related rounds. The questions primarily focused on problem-solving ability, handling edge cases, and strong fundamentals. The interviewers were supportive and gave adequate time to think through the problems. Overall, the difficulty level was moderate to hard, with a strong emphasis on writing clean code and demonstrating clear, structured thinking.
Preguntas de entrevista [1]
Pregunta 1
They mainly focused on DSA problems involving problem-solving, edge cases, and optimization, along with follow-up discussions on time and space complexity.
Envié una solicitud electrónica. Acudí a una entrevista en Target (Bengaluru) en sept 2025
Entrevista
3 rounds:
Round 1 in the office of DSA problem solving
Rounds 2,4 over zoom with focus on machine learning, data science problem solving.
Each lasted 30 mins to 1 hour
Two round of interview. First round was technical and normal machine learning questions. 2nd round was only machine learning. Overall easy interview but they expect you to know everything in great detail, whatever you tell them.
