The interview process began with an initial technical screening centered around algorithmic problem-solving and my experience handling unstructured data pipelines. This was followed by a technical deep-dive where I was asked to walk through the system architecture of my machine learning workflows, specifically detailing how I benchmarked and tuned my models. The final round felt unstructured and shifted away from core engineering competencies, focusing heavily on domain-specific financial compliance and regulatory frameworks rather than practical AI application development or software prototyping skills.

Not much of a deal, was quite easy to stand out from 100s of others. Have some personality instead of acting like an interview robot. Be concise, clear and talk with good clarity

Mostly through its desktop software, just one HR round, HR round was easy, questions about why this tech stack for projects over others,, behavioural qns etc Pre Hr rounds consisted of coding, game based assessment all of easy to moderate level only