TechClub Inc seeks a Machine Vision Engineer to design and implement computer vision solutions for real-time inspection, anomaly detection, and automation in rail environments. The role involves building vision systems, selecting hardware, and optimizing algorithms using TensorFlow, PyTorch, and OpenCV.
Responsibilities
Build robust machine vision systems for object detection, classification, and anomaly detection; select cameras, lenses, and lighting; implement and optimize vision algorithms using TensorFlow, PyTorch, and OpenCV; build automated pipelines for training and deployment; maintain high-quality datasets with LabelImg, CVAT, and Roboflow.
Requirements
8+ years in computer vision and machine learning; strong proficiency in Python and C++; expertise with OpenCV and scikit-image; hands-on experience with TensorFlow and PyTorch; experience with YOLO, Detectron2, and open-source vision models; knowledge of camera hardware and industrial environments.
Nice to Have
Industrial vision systems and robotics integration; 3D vision, LiDAR, and sensor fusion; cloud-based ML pipelines and distributed inference.
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