Computer Vision Engineer

7 days ago

Gurugram, India TekPillar Services Pvt. Ltd Full time

Description : We are seeking a Machine Vision / Computer Vision Engineer with strong hands-on experience in TensorFlow, Object Detection, PyTorch, NumPy, and OpenCV to design, develop, and implement cutting-edge vision systems for automation and quality inspection.Role and responsibility : - Should have good experience on Tensorflow | Object Detection | Pytorch | Numpy | Opencv |- Design and develop vision systems for automated inspection, measurement, and quality control.- Configure and program machine vision software and hardware to meet project requirements.- Collaborate with engineering teams to integrate vision systems with robotics and automation equipment.- Develop and optimize algorithms for image processing, object recognition, and defect detection.- Conduct system testing and validation to ensure accuracy and reliability of vision systems.- Troubleshoot and resolve issues related to vision systems and automation processes.- Provide technical support and training to operators and maintenance personnel on vision systems.- Document system designs, procedures, and maintenance protocols.- Stay updated with the latest advancements in vision technology and automation.Qualifications : - Bachelors degree in Electrical Engineering, Computer Science, Robotics, or a related field. Advanced degree is a plus.- Proven experience in developing and implementing vision systems in an industrial setting.- Proficiency in programming languages such as Python, C++, or C#.- Experience with vision software platforms (e.g., HALCON, OpenCV, Cognex) and hardware (e.g., cameras, lighting, lenses).- Strong understanding of image processing algorithms and techniques.- Familiarity with automation technologies and robotics.- Excellent problem-solving skills and attention to detail.- Strong communication and collaboration skills to work effectively with cross-functional teams.- Ability to manage multiple projects and meet deadlines.Preferred Skills :- Experience with deep learning and AI-based vision systems.- Knowledge of industrial networking protocols (e.g., Ethernet/IP, Profibus).- Familiarity with CAD software and design tools. (ref:hirist.tech)

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