KreditBee

AI Research Intern

InternshipHybridPatna, Bihar3 months24K/mo3 openingsImmediate / Rolling

About this internship

KreditBee is hiring an AI Research Intern in Patna — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to AI research and algorithm design rather than a certificate-only programme. About the role As an AI Research Intern at KreditBee, your core focus…

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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 Patna, Bihar

Perks & benefits

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Discussion with the hiring manager on the role and your fit

About KreditBee

KreditBee operates in the nbfc & lending sector and has an active presence in Patna. 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 distance. The work…

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