Quantiphi·Machine Learning Engineer

Quantiphi Machine Learning Engineer interview experience

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Bangalore RuralPosted Sep 2023 · Candidate report, summarized by Dataford

I remember this process starting with a longer screening pipeline that looked very “campus recruitment” to me.

After resume shortlist steps, there was an aptitude-style round with MCQs that covered general aptitude and computer science basics, and it moved into technical work quickly after that. The interviews then split into multiple technical rounds where I solved or discussed coding questions alongside object-oriented programming topics.

Across the technical interviews, the questions pulled from things like OOP concepts and coding patterns, and I also had to connect the work back to my projects. Even when the coding problems were present, the overall theme stayed broad—DSA/OOP style questions

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