Swiggy

AI/ML Engineering Intern

InternshipHybridKochi, Kerala3 months28K/mo2 openingsImmediate / Rolling

About this internship

Swiggy is hiring a AI/ML Engineering Intern in Kochi — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to AI engineering rather than a certificate-only programme. About the role As a AI/ML Engineering Intern at Swiggy, your core focus will be wiring…

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 Kochi, Kerala

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
2Online aptitude / domain assessment

About Swiggy

Swiggy operates in the consumer internet sector and has an active presence in Kochi. 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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