Computer Vision Engineer

Key Responsibilities

• Design and develop machine vision systems for automated inspection, measurement, and quality control.
• Configure and program vision hardware & software to meet project needs.
• Collaborate with engineering teams to integrate vision systems with robotics and automation equipment.
• Develop and optimize algorithms for image processing, object detection, and defect detection.
• Conduct system testing and validation for accuracy, repeatability, and reliability.
• Troubleshoot issues related to image processing, cameras, lighting, lenses, and automation setups.
• Provide technical support and training to production, operators, and maintenance teams.
• Document system architecture, workflows, SOPs, and maintenance procedures.
• Stay updated with emerging technologies in machine vision, deep learning, and industrial automation.

Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Science, Robotics, or related field (Master’s is a plus).

• Should have 5-8 Years of experience.

• Proven hands-on experience in developing & deploying machine vision solutions in industrial environments.
• Strong programming skills in

  Python, C++, or C#

  .
• Experience with vision platforms like

  HALCON, Cognex, OpenCV

  , etc.
• Excellent understanding of image processing, pattern recognition, and optics.
• Familiarity with automation technologies, sensors, and robotics.
• Strong problem-solving ability, attention to detail, and collaborative mindset.
• Ability to handle multiple projects and meet deadlines.

Preferred Skills

• Deep learning and AI-based vision system experience.
• Knowledge of industrial communication protocols (Ethernet/IP, Profibus, etc.).
• Exposure to CAD tools and design software.