Computer Vision Engineer

Role Description The Computer Vision Engineer will work full time on-site at IIT Madras in Chennai, contributing to research and development projects in computer vision and related domains. Day-to-day responsibilities include designing and implementing computer vision algorithms, developing and testing models for tasks such as detection, recognition, and tracking, and integrating these solutions into experimental or robotic systems. The role involves collaborating with faculty, researchers, and students, performing data collection and annotation, and conducting experiments in laboratory and real-world settings. The engineer will document methods and results, publish findings where applicable, and help maintain reproducible codebases and research tools. Participation in project meetings, technical presentations, and interdisciplinary collaborations across departments is expected.

Qualifications

• Candidates should possess strong skills in Computer Vision and Pattern Recognition for designing and evaluating visual perception algorithms.
• Candidates should possess a solid foundation in Computer Science, including algorithms, data structures, and software engineering practices.
• Candidates should possess capabilities in Data Science, such as data preprocessing, statistical analysis, and model evaluation.
• Candidates should possess knowledge of Robotics, especially perception modules, sensor fusion, and real-time implementation.
• Proficiency in programming languages commonly used in vision and machine learning (e.g., Python, C/C++, MATLAB) and familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) are beneficial.
• A postgraduate degree (M.Tech/MS/PhD) in Computer Science, Electrical Engineering, Data Science, Robotics, or a related field, or equivalent demonstrated research experience, is preferred.
• Experience with image and video processing, 3D vision, or embedded vision systems, along with strong analytical and problem-solving skills, will be advantageous.
• Ability to work collaboratively in a multidisciplinary research environment and to communicate technical concepts clearly in written and oral form is required.