Artificial Intelligence & Machine Learning Intern

About the role

This internship places you inside defense-focused AI development where you will own the full experiment cycle, turning defense requirements into tested machine learning outcomes. You will engage with data preparation, model construction, and responsible deployment on a daily basis. The role guides solutions that are accurate, robust, and aligned with operational needs in demanding environments. You will work with structured methods to ensure that systems remain reliable when facing real-world constraints. Expect to contribute to systems that support decision-making under uncertainty. You will learn how defense priorities shape data strategies and modeling choices. The work emphasizes clarity, documentation, and measurable impact on mission support.

Key facts

What you'll do

• Support the creation of datasets by collecting, cleaning, and transforming defense-relevant information for modeling.
• Engineer features that improve signal quality, reduce noise, and enhance model interpretability for operational users.
• Build classification and regression systems that convert complex data patterns into actionable predictions.
• Test and evaluate models for accuracy, stability, and relevance to defense scenarios under defined constraints.
• Implement deep learning architectures using TensorFlow and PyTorch to address challenging perception tasks.
• Apply structured methods to validate models and actively manage performance risk in sensitive contexts.
• Contribute to computer vision and language-based applications that support routing, filtering, and forecasting needs.
• Produce clear documentation, reports, and presentations that explain technical results to both technical and non-technical audiences.
• Collaborate with project teams to refine solutions, iterate on feedback, and reduce errors in deployed workflows.
• Uphold ethical AI practices and data privacy standards throughout all activities and decision points.
• Participate in peer code reviews and systematic validation exercises to ensure high-quality outcomes.
• Engage in continuous learning to keep skills current with emerging techniques and defense-related requirements.

Requirements

• Hold a Bachelor's degree in Artificial Intelligence, Machine Learning, Computer Science, Electronics, Robotics, or Information Technology from an accredited institution.
• Hold a Master's degree in relevant specializations where applicable to deepen domain understanding.
• Commit to the full 75-day schedule as defined by the program without unplanned interruptions.
• Maintain attendance above 75 percent to remain eligible for stipend payments and successful completion.
• Successfully complete police verification before onsite engagement can begin.
• Work during standard sessions scheduled from mid-morning to early evening, Monday through Saturday, as required.
• Ensure personal devices remain off premises; use provided workstations only to protect information security.
• Demonstrate genuine interest and foundational capability in defense-related AI and machine learning through prior exposure or study.
• Show ability to follow detailed instructions and adhere to strict timelines in a defense-focused setting.
• Communicate effectively in written and spoken English to interact with team members and stakeholders.
• Be prepared to adapt to evolving project priorities while maintaining attention to accuracy and compliance.

Nice to have

• Prior exposure to electronics, robotics, or information systems with defense context that can accelerate onboarding.

Skills & tools

• Python
• Machine Learning
• Deep Learning
• Computer Vision
• TG EME

Practical notes

• Working hours follow a fixed daytime schedule, running from mid-morning to early evening, Monday through Saturday, to align with program sessions.
• Stipend is disbursed after successful program completion and verification of all deliverables.
• Under 75 percent attendance leads to disqualification from stipend payments and may affect certification.
• Personal smartphones and laptops are restricted on site; only approved provided workstations may be used.
• Accommodation is not provided by the program, and interns must arrange their own lodging in Delhi.
• Travel within Delhi should be planned to ensure punctuality, considering local conditions and schedule constraints.
• The internship is an engagement of 75 days with defined start and conclusion dates, requiring consistent participation.
• The selection process includes review of application materials, interviews, and verification steps before onboarding.
• This opportunity is open to candidates who can commit to the entire duration and comply with institutional requirements.
• The posting date is 21-Jul-2026, and the last date to apply is 31-Jul-2026, after which selections will proceed.
• Successful interns will receive up to ₹75000 as stipend, subject to fulfillment of all program conditions.
• Credits of 15 may be awarded upon completion, recognizing the learning and contribution achieved during the engagement.
• The role is part time in structure, requiring focused effort during scheduled working hours.
• The program emphasizes ethical use of technology and adherence to defense policies at all times.
• Interns are expected to engage in continuous professional development to keep pace with advances in the field.
• Onsite work will be conducted from a location in Delhi, requiring compliance with site access rules.
• The Indian Army maintains a long history of service, and interns will contribute to modernizing its technological capabilities.
• This internship connects participants with a large organization that has shaped security structures over many decades.
• The legacy of unified ground forces provides context for current defense initiatives and technology adoption.
• By the end of the internship, you should be able to demonstrate tangible project outcomes and learning achievements.