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AccuKnox logo — AccuKnox AI Infrastructure & LLMOps Intern in Hyderabad, Telangana
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AI Infrastructure & LLMOps Intern

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Location

Hyderabad, Telangana

Work Mode

Hybrid

Duration

2 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Artificial Intelligence

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

Join AccuKnox in Hyderabad as an AI Infrastructure & LLMOps Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on AI infrastructure and deployment work. About the role As an AI Infrastructure & LLMOps…

About AccuKnox

AccuKnox offers a mentor-led AI Infrastructure & LLMOps Intern in Hyderabad with live project work in artificial intelligence, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
Hyderabad, TelanganaVerified employer4 openings
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Skills Required

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

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 Hyderabad. You should be keen to learn Python, Docker, Model Serving (FastAPI / vLLM) 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer
23,000/month

Stipend · 2 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryArtificial Intelligence
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