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Visa

Research Intern (AI/ML)

InternshipIn OfficeGurugram, Haryana3 months25K/mo2 openingsImmediate / Rolling

About this internship

Visa is hiring a Research Intern (AI/ML) in Gurugram — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to applied AI and machine learning rather than a certificate-only programme. About the role As a Research Intern (AI/ML) at Visa, your core focus…

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Skills you'll use

PythonDeep LearningLiterature ReviewPyTorchExperiment DesignStatisticsPaper WritingModel EvaluationGitReproducibility

What you'll do

  • Work on training, evaluating and deploying models alongside the core team
  • Apply Python, Deep Learning, Literature Review, PyTorch 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/MCA/M.Sc (CS, Statistics, Maths) — 2026 freshers & final-year students welcome
  • Working knowledge of Python, Deep Learning, Literature Review (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 Gurugram, Haryana

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:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment

About Visa

Visa operates in the fintech sector and has an active presence in Gurugram. 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 runs at…
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