Barclays

AI/ML Engineering Intern

InternshipIn OfficeMadurai, Tamil Nadu3 months24K/mo2 openingsImmediate / Rolling

About this internship

Barclays has an open AI/ML Engineering Intern position in Madurai for motivated freshers and final-year students. You will work on live AI engineering projects and finish with something you can genuinely talk about in interviews. About the role As a AI/ML Engineering Intern at Barclays, your core…

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Skills you'll use

PythonFastAPIREST APIsLLM IntegrationDockerModel DeploymentCloud PlatformsGitPrompt EngineeringTesting

What you'll do

Work on wiring models into user-facing features, APIs and pipelines alongside the core team
Apply Python, FastAPI, REST APIs, LLM Integration 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/BCA/MCA/M.Sc (CS, AI) — 2026 freshers & final-year students welcome
Working knowledge of Python, FastAPI, REST APIs (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 Madurai, Tamil Nadu

Perks & benefits

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

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 Barclays

Barclays operates in the banking sector and has an active presence in Madurai. 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…

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