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EY India logo — EY India AI/ML Engineering Intern at EY India
EY India

AI/ML Engineering Intern

InternshipWork from HomeMumbai, Maharashtra6 months32K/mo4 openingsImmediate / Rolling

About this internship

EY India has an open AI/ML Engineering Intern position in Mumbai 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 EY India, your core…

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 Mumbai, Maharashtra

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:

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

About EY India

EY India operates in the consulting & advisory sector and has an active presence in Mumbai. 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…
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