Fujitsu Research India

Role: AI Researcher

College: Not Specified

Interview Date: Not Specified

Interview Type: Not Specified

Result: Selected

Difficulty: Hard

Rounds: At least 2 rounds

Topics Asked: Research paper discussion (VC dimension, generalizability score), ML theory, data analysis, overfitting, decision-making based on model outputs.

Experience:

This interview experience is for an AI Researcher role, likely within Fujitsu Research India. The process was described as challenging, particularly the research-focused segments.

Round 1 (Research Paper Discussion): The candidate was provided with a research paper to review. The discussion centered on the concepts presented in the paper, including theoretical AI concepts such as VC dimension and generalizability score. A scenario-based question was also posed: "Data A was taken and run on Model M, these results were obtained. Now you have to analyze the results and answer questions like 'Do you think overfitting might have happened? Why do you think overfitting might have happened? Do you think this situation might have occurred? Why do you think this situation might have occurred?'" This round heavily assessed analytical skills and decision-making within an ML context. Basic ML theory questions were also part of this round. The candidate mentioned utilizing tools like ChatGPT or Perplexity to understand some of the more complex concepts in the research paper.

Round 2 (HR Round): This was the final stage of the interview process, where package details were discussed.