Company Description Vervey Automation India Pvt Ltd is an AI-powered robotics and automation company delivering end-to-end solutions that enhance productivity through intelligent software, industrial robots, and automated machinery. The organization focuses on custom automation for sectors such as manufacturing, warehousing, and hospitality. Its portfolio includes material-handling robots, cleaning robots, and AI-driven video analytics systems that streamline operations and improve safety. Team members work at the intersection of robotics, software, and artificial intelligence, contributing to solutions that directly impact efficiency and business performance.
Role Description The Computer Vision Engineer will design, develop, and deploy computer vision algorithms that power intelligent robotic and automation systems. Day-to-day responsibilities include building and optimizing image and video processing pipelines, training and evaluating vision models, integrating algorithms into real-world robotic platforms, and collaborating with cross-functional teams in robotics, software engineering, and data science. The role involves working with AI-driven video analytics, object detection, tracking, pattern recognition, and sensor fusion to solve industrial automation challenges. This is a full-time hybrid role based in Coimbatore, with a mix of on-site collaboration and some work-from-home flexibility.
Qualifications
- Candidates should possess strong skills in Computer Vision and Pattern Recognition, including experience with image/video processing, feature extraction, object detection, and tracking.
- Candidates should possess a solid foundation in Computer Science, with proficiency in programming languages such as Python or C++, data structures, algorithms, and software engineering best practices.
- Candidates should possess relevant Data Science skills, including model training and evaluation, statistical analysis, and familiarity with machine learning frameworks (e.g., OpenCV, TensorFlow, PyTorch).
- Candidates should possess practical knowledge of Robotics, including integration of vision systems with sensors and actuators, real-time processing, and deployment on robotic platforms.
- Relevant additional qualifications include a bachelor’s or master’s degree in Computer Science, Electronics, Robotics, or a related field; experience with industrial automation; familiarity with embedded systems; and strong problem-solving and communication skills.