Computer Vision & AI Deployment - Internship

About the internship:Selected intern's day-to-day responsibilities include:

1. Computer Vision Development: Develop, test, evaluate, and optimize computer vision and deep learning models using Python, OpenCV, YOLO, and frameworks such as PyTorch or TensorFlow. Work on object detection, image/video processing, dataset preparation, data annotation, and model evaluation.

2. AI Model Deployment and Integration: Deploy AI models on edge devices, GPU servers, and other environments. Integrate models with cameras, live video streams, APIs, and existing hardware/software systems, and assist with installation, configuration, testing, and commissioning.

3. Client Visits and On-site Deployment: Travel to client locations, including Manesar facility and client locations in Gurugram, approximately 1-2 times per week depending on project requirements. Support on-site installation, deployment, integration, testing, troubleshooting, and resolution of technical issues.

4. Technical Troubleshooting: Identify and resolve issues involving AI models, camera feeds, networking, hardware, and software integration. Coordinate with the engineering and backend teams to ensure successful deployments.

5. Documentation and Coordination: Maintain deployment documentation, record testing results, report technical issues, and coordinate with relevant teams to ensure solutions function reliably in real-world environments.

This is a full-time, in-office internship involving both computer vision development and regular client-site travel. Candidates must be comfortable travelling to Manesar and Gurugram for hands-on deployment activities.Who can apply:Only those candidates can apply who:are available for full time (in-office) internshipcan start the internship between 19th Oct'26 and 23rd Nov'26are available for duration of 6 monthshave relevant skills and interests* Women wanting to start/restart their career can also apply.are Computer Science Engineering studentsStipend:INR₹ 25,000 - 30,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Informal dress code, 5 days a weekSkills required:Python, Machine Learning and Computer VisionOther Requirements:1. This is a full-time, in-office internship involving both computer vision development and regular client-site travel. Candidates must be comfortable travelling to Manesar and Gurugram for hands-on deployment activities.2. Hands-on experience with Python, OpenCV, YOLO, PyTorch or TensorFlow, and academic or personal projects involving computer vision, object detection, image/video processing, or AI model deployment. Freshers with relevant projects are welcome.3. Must be comfortable travelling to client locations in Manesar and Gurugram approximately 1–2 times per week for installation, integration, testing, and deployment. Good communication, troubleshooting, problem-solving, and coordination skills are essential.About Company:Proxgy is a technology aggregator working in the field of creative world technology solutions that ease the day-to-day issues of its users and let them explore a whole new world of opportunities and possibilities. We have got ample renowned investors in our court and recently we got funded from SharkTank.

Responsibilities

Selected intern's day-to-day responsibilities include:

1. Computer Vision Development: Develop, test, evaluate, and optimize computer vision and deep learning models using Python, OpenCV, YOLO, and frameworks such as PyTorch or TensorFlow. Work on object detection, image/video processing, dataset preparation, data annotation, and model evaluation.

2. AI Model Deployment and Integration: Deploy AI models on edge devices, GPU servers, and other environments. Integrate models with cameras, live video streams, APIs, and existing hardware/software systems, and assist with installation, configuration, testing, and commissioning.

3. Client Visits and On-site Deployment: Travel to client locations, including Manesar facility and client locations in Gurugram, approximately 1-2 times per week depending on project requirements. Support on-site installation, deployment, integration, testing, troubleshooting, and resolution of technical issues.

4. Technical Troubleshooting: Identify and resolve issues involving AI models, camera feeds, networking, hardware, and software integration. Coordinate with the engineering and backend teams to ensure successful deployments.

5. Documentation and Coordination: Maintain deployment documentation, record testing results, report technical issues, and coordinate with relevant teams to ensure solutions function reliably in real-world environments.

This is a full-time, in-office internship involving both computer vision development and regular client-site travel. Candidates must be comfortable travelling to Manesar and Gurugram for hands-on deployment activities.