Position Scope :
As a Computer Vision Developer, you will design and implement machine vision systems for applications like sorting and quality inspection.
Your role includes developing high-performance solutions using C++ and Python, collaborating with the team, and overseeing system deployment and integration.
Familiarity with machine learning techniques is preferred and will enhance your application.
Responsibilities :
- Design and Development : Work with the software architect to design and develop robust machine vision systems tailored to various applications including sorting, flaw detection, measurement, locating, counting, and quality inspection.
- Application Development : Create and implement machine vision systems specifically for food manufacturing processes, leveraging machine vision software to optimize production and quality control.
- System Commissioning : Oversee the deployment and commissioning of machine vision systems at client locations, ensuring smooth integration and functionality.
- Collaboration : Engage with cross-functional teams to develop innovative and effective products, contributing to both design and implementation phases.
- Code Quality : Write high-performance, secure, and maintainable code. Adhere to best practices in software development and contribute to continuous improvement efforts.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or a related field.
- At least 1-2 years of hands-on experience with machine vision software, such as MVTec Halcon, Zebra Aurora, or comparable tools.
- Demonstrated proficiency in C++, with experience in developing high-performance, low-level system components.
- Proven expertise in Python software development, with a strong background in scripting, prototyping, and building high-level functionality.
- Experience and knowledge of machine learning techniques, with a preference for deep learning, particularly in machine vision applications, would be considered an asset.
- Excellent verbal and written communication skills for effective collaboration and documentation.
- Ability to travel to client sites for system commissioning and support.
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