Haptik

AI Research Intern

InternshipHybridJammu, Jammu & Kashmir3 months50K/mo3 openingsImmediate / Rolling

About this internship

Join Haptik in Jammu as a 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 work. About the role As a AI Research Intern at Haptik, your core focus will be reproducing papers…

Skills you'll use

PythonDeep LearningResearch MethodologyPyTorchExperiment DesignStatisticsTechnical WritingLiterature ReviewData AnalysisReproducibility

What you'll do

Work on reproducing papers, running experiments and documenting findings alongside the core team
Apply Python, Deep Learning, Research Methodology, 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.Tech/M.Tech/M.Sc/PhD (CS, AI, Maths, Statistics) — 2026 freshers & final-year students welcome
Working knowledge of Python, Deep Learning, Research Methodology (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 Jammu, Jammu & Kashmir

Perks & benefits

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Team-fit / behavioural interview with the team

About Haptik

Haptik operates in the artificial intelligence sector and has an active presence in Jammu. 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…

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