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Niramai

AI Infrastructure & LLMOps Intern

InternshipIn OfficePune, Maharashtra3 months34K/mo9 openingsImmediate / Rolling
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About this internship

Niramai has an open AI Infrastructure & LLMOps Intern position in Pune for motivated freshers and final-year students. You will work on live AI infrastructure and deployment projects and finish with something you can genuinely talk about in interviews. About the role As an AI Infrastructure &…

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Skills you'll use

PythonDockerModel Serving (FastAPI / vLLM)Cloud (AWS / Azure / GCP)Monitoring & LoggingCI/CDGPU BasicsCost OptimisationKubernetes BasicsVersion Control

What you'll do

  • Work on getting models served reliably, monitored and affordable in production alongside the core team
  • Apply Python, Docker, Model Serving (FastAPI / vLLM), Cloud (AWS / Azure / GCP) 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 (CSE/IT), MCA or M.Sc (Computer Science)
  • Graduating batch 2026 or 2027 — final-year students and recent graduates welcome
  • 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
  • Working knowledge of Python, Docker, Model Serving (FastAPI / vLLM) (or a genuine willingness to learn them)
  • Exposure to Cloud (AWS / Azure / GCP), Monitoring & Logging, CI/CD is an advantage
  • Clear written and verbal communication in English, and care with detail in your work
  • No prior work experience required — this is a fresher-friendly internship
  • Based in Pune, Maharashtra or willing to work from there for the internship period

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. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer

About Niramai

Niramai operates in the healthtech & medical ai sector and has an active presence in Pune. 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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