Machine Vision Engineer for Defect Detection
Budget: ₹1,500 – ₹12,500 INR
We are seeking a skilled Machine Vision Engineer with a strong background in defect detection using computer vision. The ideal candidate will have expertise in integrating machine vision systems with PLCs, as well as a thorough understanding of cloud and edge computing solutions. You will be responsible for developing and deploying a vision-based inspection system for automated quality control, ensuring high accuracy and reliability in industrial environments.
Key Responsibilities:
• Design, develop, and implement machine vision systems for defect detection in industrial applications.
• Integrate vision inspection solutions with PLCs and industrial automation systems.
• Develop and optimize deep learning and traditional image processing models for defect classification and anomaly detection.
• Deploy and manage vision solutions on edge devices and cloud platforms, ensuring real-time processing and scalability.
• Work closely with software, hardware, and automation teams to ensure seamless system integration.
• Perform data analysis and model optimization to enhance system performance and accuracy.
• Troubleshoot and maintain machine vision systems in production environments.
• Stay updated with the latest advancements in computer vision, industrial automation, and IoT technologies.
Key Responsibilities:
• Design, develop, and implement machine vision systems for defect detection in industrial applications.
• Integrate vision inspection solutions with PLCs and industrial automation systems.
• Develop and optimize deep learning and traditional image processing models for defect classification and anomaly detection.
• Deploy and manage vision solutions on edge devices and cloud platforms, ensuring real-time processing and scalability.
• Work closely with software, hardware, and automation teams to ensure seamless system integration.
• Perform data analysis and model optimization to enhance system performance and accuracy.
• Troubleshoot and maintain machine vision systems in production environments.
• Stay updated with the latest advancements in computer vision, industrial automation, and IoT technologies.