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Thoucentric Technologies

Data and MLResearch

Built from 1 candidate report with 1 first-hand accounts, covering recent seasons.

Hiring process

Roles: Research ML Engineer

unknown

  1. 1

    Online test

    Online test with six sections

    data science coding · PyTorch syntax · deep learning · GANs · transformers · CNNs · VAE · ML maths

    3-4 data science coding questions plus theory sections.

  2. 2

    Technical interview

    Technical interview 1

    computer vision · deep learning projects · model training scenarios · company motivation

    Resume walkthrough in depth; scenario questions on model choice and training; light-hearted tone.

Advice from candidates

6 pieces of advice, in their own words. Names removed.

  • The questions regarding the concepts need you to be very thorough with the theory behind the above topics, so make sure you just dont know about the coding aspect but the theory too.

    test

  • The data science coding questions are mostly to check your syntax understanding for Data Science. Be thorough with the code part like the different data science libraries.

    test

  • The interviewers were good natured and its important you are honest with them throughout. They also asked me why I wanted to work at Thoucentric and what I know about them, so do your background research before going in, it shows you are interested.

    interview

  • Since this is a research ML profile, they want someone who has prior experience and is thorough with the basics, so if you are interested in the research ML profile you must make sure your resume shows you have worked in Machine Learning, try not to just have some generic projects but projects where you have worked until deployment, are not done with tutorials.

    resume

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