Technical discussion on background, take home Data Science problem testing data wrangling, data processing, feature engineering, model development, validation and testing, with visualizations. problem statement presentations - one or two, ML interview covering various concepts of ML, Deep Learning and cloud knowledge (if any) in depth
Interview questions [1]
Question 1
How did you pre-process data for sentiment analysis project?
Experience deep dive and project discussion across your resume, agent architectures, finetuning, observability, orchestration with langgraph, langsmith and LLM fine tuning with SFT and others like GRPO and DPO. Also some workspace based general questions which are easy to answer
I applied online. I interviewed at Quantiphi (Mumbai) in Jun 2026
Interview
Technical interview interviewer will ask you about Python basic question and one DSA questions Be calm and just write first pseudo code understand the question first and then write the code
I applied through college or university. I interviewed at Quantiphi (Bengaluru) in Oct 2025
Interview
Not that much tough . If you have learn ml neither as a pro or as a beginner . You can get that opportunity by just reaching out to interview process . 1 st interview will online that will culture fit round and 2 nd round will offline than a online hr interview in the end .