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Indian Army Internship, Daily Stipend ₹1,000: Apply by Dec 21

bySightsIn Plus
Dec 17, 2025 3:24 PM
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The Indian Army has opened applications for the Indian Army Internship Programme (IAIP) 2025, a technology-driven initiative designed for engineering students and research scholars.

Branded “Beyond Silos, Beyond Limits,” the programme offers hands-on exposure to live defence technology projects in secure, mission-critical environments. Selected interns will receive a stipend of ₹1,000 per day.

Programme Overview

IAIP 2025 immerses young technologists in advanced defence innovation. Interns will work directly with Indian Army teams on real-world applications involving software engineering, artificial intelligence, data systems, and secure digital platforms.

The focus is on practical learning, innovation, and contribution to national defence capabilities.

Eligibility

  • BE/BTech (final-year or graduates) in Computer Science, IT, Data Science, or ECE
  • MTech (pursuing or completed) in AI & ML, Data Science, or Software Engineering
  • PhD scholars in AI & ML, DevSecOps, Software Engineering, or Big Data

Duration & Location

  • Internship period: 75 days
  • Dates: January 12, 2026 – March 27, 2026
  • Posting locations: New Delhi or Bengaluru

Key Learning Areas

  • Software development and secure systems
  • Artificial Intelligence & Machine Learning (LLMs, agentic AI, data analytics)
  • Secure cloud, edge computing, and IoT
  • DevSecOps, CI/CD pipelines, and containerisation
  • GIS platforms and API development

What Interns Gain

  • Work on live, military-grade defence applications
  • Exposure to classified and secure environments
  • Hands-on experience with cutting-edge technologies
  • Opportunity to contribute directly to Indian Army technology initiatives

How to Apply

Eligible candidates can apply online through the official IAIP application link or by scanning the QR code. For queries, applicants may write to iaip2025.dgis@gmail.com.

Last date to apply: December 21, 2025. Early applications are encouraged, as selection is based on academic background, technical skills, and project relevance.


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