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Zensar Technologies logo — Zensar Technologies LLMOps Intern in Agra, Uttar Pradesh
Zensar Technologies VerifiedActively Hiring

LLMOps Intern

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Location

Agra, Uttar Pradesh

Work Mode

Hybrid

Duration

3 months

Stipend

₹22,000/mo

Start Date

Immediate / Rolling

Openings

11 positions

Type

Full-time

Category

Generative AI

Apply Now — ₹22,000/moApply on Company Website ↗

About the Internship

Zensar Technologies is hiring a LLMOps Intern in Agra — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to LLM operations and deployment rather than a certificate-only programme. About the role As a LLMOps Intern at Zensar Technologies, your core focus…

About Zensar Technologies

Zensar Technologies offers a mentor-led LLMOps Intern in Agra with live project work in generative ai, a stipend of ₹22,000/month and a Pre-Placement Offer opportunity for strong performers.
Agra, Uttar PradeshVerified employer11 openings
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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 Agra. 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

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
22,000/month

Stipend · 3 months

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Openings11 positions
Applicants0 applied
ModeHybrid
CategoryGenerative AI
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