
LLMOps Intern
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Skills you'll use
What you'll do
- Work on running language models in production without the bill or the latency getting out of hand alongside the core team
- Apply Python, Model Serving (vLLM / FastAPI), Docker, 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, 2027 or 2028 — 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, Model Serving (vLLM / FastAPI), Docker (or a genuine willingness to learn them)
- Exposure to Cloud (AWS / Azure / GCP), Prompt & Model Versioning, Observability & Tracing 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 Gurugram, Haryana or willing to work from there for the internship period
Perks & benefits
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 Quick Heal Technologies
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