Computer Vision Engineer

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.