AI ML Engineer for Pattern Recognition, Computer Vision and Machine Learning Model Development

About the role

Indian Army Internship Program (IAIP): AI ML Engineer for Computer Vision and Intelligent Systems

This document outlines the structured opportunity titled the Indian Army Internship Program, specifically for the role focused on AI, ML, and Computer Vision. The position is a full-time, onsite engagement based in Delhi, designed for individuals seeking to apply advanced computational techniques to real-world defense challenges. The program emphasizes practical development and operational understanding within a defined period.

Key Program Details

The internship is a fixed-duration engagement spanning 75 days. The scheduled start is 17-Aug-2026, with the final application submission deadline on 03-Aug-2026. The posting for this role was published on 21-Jul-2026. The compensation for successful participation is a stipend of up to ₹75,000, accompanied by 15 credits upon completion. Applicants must be available for the entire duration of the program.

Role Responsibilities and Daily Tasks

Interns will participate in the complete lifecycle of model development and deployment. The core focus involves designing systems capable of processing visual information for specific objectives. You will be responsible for constructing and refining analytical models to meet specified defense requirements. Documentation is a critical component, ensuring that every procedure is recorded clearly for future reference and team continuity. Ownership of the workflow concludes with the ability to articulate findings and processes to technical stakeholders.

A significant portion of the work will involve preparing data intake procedures to verify the integrity of image samples and textual information. You will build tools using Python, leveraging structured databases to create training datasets for computer vision applications. Model performance will be assessed against established benchmarks to validate accuracy prior to operational use. also, you will establish monitoring routines to evaluate model behavior after integration into production environments. Collaboration with other engineers is essential to align technical workflows and integrate new modules seamlessly. The configuration of Docker environments will ensure experimental consistency across different computing platforms. Analysis of model predictions will guide iterative improvements to reduce errors in data interpretation. Maintaining detailed logs of all development changes is mandatory. You will also support evaluation sessions to test model performance in unseen scenarios and guide automation scripts to minimize manual repetitive testing tasks.

Required Qualifications and Eligibility Criteria

Applicants must hold a Bachelor's or Master's degree in a relevant technical field. Acceptable backgrounds include specializations in Artificial Intelligence, Machine Learning, Computer Science, Electronics and Communication, or Information Technology. Candidates pursuing M. Tech or M.E degrees in these specializations are also eligible to apply. Completion of at least three years of study is a mandatory requirement for consideration.

Technical Skills and Tools

Proficiency in several key technologies is expected. You must have hands-on experience with programming, specifically using Python. Knowledge of SQL is required for data management and querying. Familiarity with containerization tools, particularly Docker, is necessary for the role. A strong foundation in Machine Learning and Deep Learning principles is essential. Direct experience with Computer Vision and Artificial Intelligence frameworks is highly valued. Additionally, understanding of Pattern Recognition and Predictive Analytics methodologies is part of the skill set for this position.

Application Eligibility and Conditions

The program is open to candidates from specific educational backgrounds listed in the eligibility section. You must be free from any commitments for the full 75-day internship period without interruption. Access to personal smartphones and laptops is restricted within the work premises; all necessary workstations will be provided on-site. Practical aspects of the engagement include fixed working hours from 9:30 AM to 5:30 PM. The stipend is disbursed after successful completion of the program, and interns with attendance below 75% will be ineligible for payment. Security verification through police clearance is a prerequisite for joining the campus. Accommodation is not arranged by the program.

Additional Information

While not mandatory, a demonstrated interest in defense technology and intelligent automated systems is viewed favorably during the selection process. All candidates are advised to confirm the latest details on the official application page before proceeding.