Progressive Solution

About the Role: We are seeking an experienced Machine Vision Engineer with a proven track record in developing precision measurement and defect detection solutions for industrial applications. The role involves designing and implementing an advanced camera-based system integrated with CNC machines to measure objects with up to 2-micron accuracy , detect surface flaws, and compare results with original specifications. Key Responsibilities: Design and develop computer vision algorithms for length, width, and height measurement at micron-level precision. Implement flaw detection systems for industrial components. Integrate one or more cameras with CNC machines for real-time measurement and quality inspection. Calibrate and optimize camera systems for high accuracy, including distortion correction . Process, analyze, and export measurements into Excel for automated comparison against original specs. Work closely with manufacturing teams to ensure solutions are robust and production-ready. Required Skills & Experience: 8+ years in computer vision, preferably in industrial or manufacturing environments . Strong expertise in: Image classification, filtering, edge detection Segmentation, object detection, and tracking Camera calibration & distortion correction Optical flow, contour detection Model training, evaluation, and optimization Proficiency in Python and key libraries: OpenCV PyTorch TensorFlow scikit-image, Pillow Experience in precision measurement systems and defect detection solutions. Preferred Qualifications: Prior experience integrating vision systems with CNC machines or industrial automation. Strong understanding of optics and lighting for high-accuracy inspection. Background in metrology or quality control systems.

Job Summary: We are seeking a highly experienced Machine Vision Engineer to design and implement advanced vision systems for CNC machine operations. The role involves building solutions that measure objects with up to 2-micron precision , detect flaws, and export measurements for automated comparison with original specifications. The ideal candidate will have a strong background in computer vision, industrial automation, and Python programming. Key Responsibilities: Develop and implement camera-based measurement systems for micron-level accuracy (length, width, height). Design defect detection algorithms to identify flaws on industrial components. Integrate vision systems with CNC machines for real-time measurement and inspection. Perform camera calibration, distortion correction, and optimization for precision. Export measurement results into Excel and automate specification comparison reports . Collaborate with manufacturing teams to deploy robust and scalable solutions. Required Skills & Experience: 8+ years of experience in computer vision / machine vision, preferably in industrial applications. Strong expertise in: Image classification, filtering, edge detection Segmentation, object detection, and tracking Camera calibration and distortion correction Optical flow, contour detection Model training, evaluation, and optimization Advanced proficiency in Python and the following libraries: OpenCV PyTorch TensorFlow scikit-image, Pillow Experience with precision measurement systems and industrial flaw detection. Preferred Qualifications: Hands-on experience with CNC machine vision integration . Knowledge of metrology principles and industrial quality control standards. Strong understanding of optics and lighting systems for accurate inspections. Job Type: Full-time Pay: ₹500,000.00 - ₹1,000,000.00 per year Work Location: In person

Job Summary: We are seeking a highly experienced Machine Vision Engineer to design and implement advanced vision systems for CNC machine operations. The role involves building solutions that measure objects with up to 2-micron precision , detect flaws, and export measurements for automated comparison with original specifications. The ideal candidate will have a strong background in computer vision, industrial automation, and Python programming. Key Responsibilities: Develop and implement camera-based measurement systems for micron-level accuracy (length, width, height). Design defect detection algorithms to identify flaws on industrial components. Integrate vision systems with CNC machines for real-time measurement and inspection. Perform camera calibration, distortion correction, and optimization for precision. Export measurement results into Excel and automate specification comparison reports . Collaborate with manufacturing teams to deploy robust and scalable solutions. Required Skills & Experience: 8+ years of experience in computer vision / machine vision, preferably in industrial applications. Strong expertise in: Image classification, filtering, edge detection Segmentation, object detection, and tracking Camera calibration and distortion correction Optical flow, contour detection Model training, evaluation, and optimization Advanced proficiency in Python and the following libraries: OpenCV PyTorch TensorFlow scikit-image, Pillow Experience with precision measurement systems and industrial flaw detection. Preferred Qualifications: Hands-on experience with CNC machine vision integration . Knowledge of metrology principles and industrial quality control standards. Strong understanding of optics and lighting systems for accurate inspections.

About the Role: We are seeking an experienced Machine Vision Engineer with a proven track record in developing precision measurement and defect detection solutions for industrial applications. The role involves designing and implementing an advanced camera-based system integrated with CNC machines to measure objects with up to 2-micron accuracy, detect surface flaws, and compare results with original specifications. Key Responsibilities: Design and develop computer vision algorithms for length, width, and height measurement at micron-level precision. Implement flaw detection systems for industrial components. Integrate one or more cameras with CNC machines for real-time measurement and quality inspection. Calibrate and optimize camera systems for high accuracy, including distortion correction. Process, analyze, and export measurements into Excel for automated comparison against original specs. Work closely with manufacturing teams to ensure solutions are robust and production-ready. Required Skills & Experience: 8+ years in computer vision, preferably in industrial or manufacturing environments. Strong expertise in: Image classification, filtering, edge detection Segmentation, object detection, and tracking Camera calibration & distortion correction Optical flow, contour detection Model training, evaluation, and optimization Proficiency in Python and key libraries: OpenCV PyTorch TensorFlow scikit-image, Pillow Experience in precision measurement systems and defect detection solutions. Preferred Qualifications: Prior experience integrating vision systems with CNC machines or industrial automation. Strong understanding of optics and lighting for high-accuracy inspection. Background in metrology or quality control systems.