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UTI Asset Management logo — UTI Asset Management GenAI Intern in Leh, Ladakh
UTI Asset Management VerifiedActively Hiring

GenAI Intern

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Location

Leh, Ladakh

Work Mode

Hybrid

Duration

4 months

Stipend

₹24,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Artificial Intelligence

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About the Internship

UTI Asset Management is hiring a GenAI Intern in Leh — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to generative AI and large language models rather than a certificate-only programme. About the role As a GenAI Intern at UTI Asset Management, your…

About UTI Asset Management

UTI Asset Management offers a mentor-led GenAI Intern in Leh with live project work in artificial intelligence, a stipend of ₹24,000/month and a Pre-Placement Offer opportunity for strong performers.
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Leh, LadakhVerified employer6 openings
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Skills Required

Generative AILLM APIsRAGVector DatabasesPrompt EngineeringPythonEmbeddingsLangChainEvaluationFine-Tuning Basics

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Leh. You should be keen to learn Generative AI, LLM APIs, RAG 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

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateStructured onboarding and a formal mentor at a large, established employer

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
24,000/month

Stipend · 4 months

Apply Now →
Openings6 positions
Applicants0 applied
ModeHybrid
CategoryArtificial Intelligence
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