Artificial Intelligence Intern

Quantian Technologies Private Limited

  • Pune, India
  • Internship
  • Posted 2 Nov 2026

Quantian Technologies Private Limited has a three-month AI internship in Pune. It combines model improvement with document-processing automation and agentic workflows.

What the work involves

The intern assists with training, fine-tuning and deployment for real-time automation, builds workflows using tools including Claude and Azure, and works with engineers to connect AI functionality to the platform. Checking outputs and retraining models are explicit duties.

Python, artificial intelligence and LLMOps are named skills. Explain how you evaluate a model or workflow, identify poor output and compare improvements on held-out examples. The source does not specify the model family or cloud resources available.

Who can apply

3 months; Pune candidates only. Computer Science graduates only.

  • Python and AI fundamentals.
  • Model evaluation and document-processing workflows.
  • LLMOps and integration with engineering teams.

Location, pay and application

Full-time, on-site in Pune. The source states INR 10000-15000/month.

The listing requires Computer Science graduates and Pune availability. Confirm the actual project and supervision before accepting. Apply by 2026-12-02. The opening is employer-posted on Internshala; use that platform for the full description and application. Internshala may require an account/profile to apply.

Prepare your application

Use a relevant project or work example to show what you built, how you tested it and which parts you owned. Match the stated skills honestly. An unspecified experience range does not mean that freshers automatically qualify.

The source publication date is 2026-11-02. Availability was checked on 3 November 2026. Review the full source and its latest terms before applying.

Artificial Intelligence Intern at Quantian Technologies Private Limited. Applications happen on the named source, not on GetFirstJob. GetFirstJob does not collect resumes or charge candidates; never pay an application or interview fee.

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