Location
Gurugram, Haryana
Work Mode
Work from Home
Duration
4 months
Stipend
₹40,000/mo
Start Date
Immediate / Rolling
Openings
10 positions
Type
Full-time
Category
Generative AI
About the Internship
Quick Heal Technologies has an open LLMOps Intern position in Gurugram for motivated freshers and final-year students. You will work on live LLM operations and deployment projects and finish with something you can genuinely talk about in interviews.
About the role
As a LLMOps Intern at Quick Heal…
About Quick Heal Technologies
Quick Heal Technologies offers a mentor-led LLMOps Intern in Gurugram with live project work in generative ai, a stipend of ₹40,000/month and a Pre-Placement Offer opportunity for strong performers.
Gurugram, HaryanaVerified employer10 openings
Apply to Quick Heal Technologies →Skills Required
PythonModel Serving (vLLM / FastAPI)DockerCloud (AWS / Azure / GCP)Prompt & Model VersioningObservability & TracingToken Cost MonitoringCaching StrategiesCI/CDIncident Response
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA or M.Sc (Computer Science) who are based in or willing to work from Gurugram. You should be keen to learn Python, Model Serving (vLLM / FastAPI), Docker on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.
Perks
Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience
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
₹40,000/month
Stipend · 4 months
Openings10 positions
Applicants0 applied
ModeWork from Home
CategoryGenerative AI
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