Computer Vision Intern

Company Description Eternal Robotics is a technology solutions provider focused on advancing robotics, artificial intelligence (AI), and automation across industries. A multidisciplinary team of specialists collaborates to design and deliver customized solutions that address diverse client requirements. By integrating cutting-edge tools and methods, the company helps organizations in sectors such as manufacturing and retail improve efficiency, productivity, and safety. Eternal Robotics is committed to driving digital transformation and invites individuals who are eager to help redefine the future of AI and automation.
Role Description The Computer Vision Intern role is a full-time hybrid position based in New Delhi. The intern will assist in designing, implementing, and testing computer vision algorithms for real-world robotics and automation applications. Daily tasks may include data collection and annotation, building and evaluating models, integrating vision modules with existing systems, and collaborating with engineers to refine system performance. The role involves documenting experiments, preparing technical reports, and supporting demonstrations or pilot projects. The intern will work closely with the team to explore new techniques and contribute to ongoing research and development initiatives.
Qualifications
Candidates should possess strong Programming skills, preferably in languages commonly used for computer vision and robotics (e.g., Python, C++).
Candidates should possess basic Machining or hands-on hardware skills to work with sensors, cameras, and robotic components as needed.
Candidates should possess Teaching or mentoring skills to communicate concepts clearly, share learnings, and collaborate effectively with team members.
Foundational knowledge of computer vision, image processing, and machine learning concepts is highly beneficial.
Experience with tools such as OpenCV, PyTorch, TensorFlow, or similar frameworks is an advantage.
Strong analytical, problem-solving, and documentation skills, with attention to detail.
Ability to work in a hybrid environment, manage time effectively, and collaborate with a diverse, multidisciplinary team.
Enrollment in or recent completion of a degree in Computer Science, Robotics, Electronics, or a related field is preferred.

Work arrangement
Hybrid