Machine Vision Engineer

What You'll Do7

• Build and fine-tune advanced machine vision algorithms for image analysis and automated inspection.
• Leverage OpenCV and related libraries to create scalable, integration-ready vision solutions.
• Improve image processing workflows to boost accuracy, speed, and dependability across varying data sources.
• Work closely with diverse teams to nail down system requirements and hit project deadlines.
• Prepare, clean, and label large image datasets for training, validating, and testing vision models.
• Diagnose and fix complex computer vision issues to maintain top-notch results.
• Write clear technical documentation and share insights to strengthen the team's collective knowledge.

Requirements7

• Solid track record in computer vision, image processing, and machine vision systems.
• Rigorous hands-on experience with OpenCV and similar computer vision libraries.
• Strong programming skills in Python and/or C++ for building vision applications.
• Good grasp of camera hardware, imaging sensors, and lighting fundamentals.
• Excellent written and verbal communication skills to explain technical concepts clearly.
• Ability to work independently and juggle multiple priorities in a remote setting.
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.

Who Should Apply

This role is perfect for an experienced computer vision specialist who wants their work to directly impact how AI systems perceive the world. You're comfortable with OpenCV and Python/C++, enjoy collaborating across teams, and thrive in a remote, self-directed environment. If you have domain knowledge in manufacturing, robotics, or embedded systems, that's a plus — but your core vision expertise is what matters most.

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