Computer Vision Intern

Company Description Computer Vision AI Visual Grab is a specialized platform focused on the latest advancements in Computer Vision, Artificial Intelligence, and Multimodal Intelligence. The organization bridges cutting-edge research with real-world business impact by highlighting how visual AI is transforming industries such as manufacturing, transportation, retail, healthcare, agriculture, smart cities, security, and robotics. It regularly shares real-world applications, emerging research, best practices, architectures, and deployment strategies, along with industry-specific automation and analytics solutions. The platform also offers educational content for professionals, students, researchers, and business leaders, serving as a hub for learning and innovation in intelligent visual systems. Its mission is to help transform data into decisions through vision, AI, and multimodal intelligence.
Role Description The Computer Vision Intern role is an on-site internship based in Dehradun. The intern will assist in developing and testing computer vision algorithms, supporting the implementation of AI models for visual data analysis, and contributing to prototypes and proof-of-concept projects. Daily tasks may include data collection and annotation, experimentation with image and video processing techniques, documentation of findings, and collaboration with mentors to refine models and pipelines. The intern will also help prepare educational or technical content related to computer vision applications and contribute to demonstrations or case studies that showcase real-world use cases.
Qualifications
Candidates should possess strong Programming skills, preferably in languages commonly used for AI and computer vision (e.g., Python, C++).
Candidates should possess basic Machining or hardware-handling skills, including working with cameras, sensors, or simple mechanical setups for data collection.
Candidates should possess Teaching or knowledge-sharing skills, such as explaining technical concepts clearly or contributing to educational content.
Familiarity with computer vision libraries and frameworks (e.g., OpenCV, PyTorch, TensorFlow) is highly beneficial.
Foundational understanding of machine learning, image processing, or deep learning concepts is preferred.
Strong analytical, problem-solving, and debugging abilities, with attention to detail.
Currently enrolled in or recently graduated from a relevant program (e.g., Computer Science, Electronics, AI/ML, Robotics, or related field).
Ability to work collaboratively on-site in Dehradun and communicate effectively within a multidisciplinary team.

Work arrangement
No