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Oracle

AI/ML Engineering Intern

InternshipIn OfficeHyderabad, Telangana2 months27K/mo4 openingsImmediate / Rolling

About this internship

Oracle has an open AI/ML Engineering Intern position in Hyderabad 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 Oracle, 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 Hyderabad, Telangana

Perks & benefits

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

Interview & selection process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3HR discussion — stipend, start date, expectations and offer

About Oracle

Oracle operates in the enterprise software sector and has an active presence in Hyderabad. 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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