FlexSalary

AI Research Intern

InternshipHybridGIFT City, Gandhinagar, Gujarat3 months54K/mo2 openingsImmediate / Rolling

About this internship

Join FlexSalary in GIFT City, Gandhinagar as an AI Research Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on AI research and algorithm design work. About the role As an AI Research Intern at…

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Skills you'll use

Algorithm DesignDeep LearningPyTorchAI EthicsAcademic Writing & PublishingLiterature ReviewExperiment DesignPythonMathematics for MLReproducible Research

What you'll do

Work on running structured experiments against open research problems alongside the core team
Apply Algorithm Design, Deep Learning, PyTorch, AI Ethics to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech, M.Tech, M.Sc (CS / Mathematics) or Ph.D. scholars — 2026 freshers & final-year students welcome
Working knowledge of Algorithm Design, Deep Learning, PyTorch (or a genuine willingness to learn them)
Strong fundamentals in your discipline and clear problem-solving ability
Care with detail and the discipline to document your work
Clear written and verbal communication in English
Based in or willing to work from GIFT City, Gandhinagar, Gujarat

Perks & benefits

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Technical interview on fundamentals and your projects

About FlexSalary

FlexSalary operates in the consumer lending sector and has an active presence in GIFT City, Gandhinagar. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a…

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