
Computer Vision Architect
2 days ago
We are seeking an experienced Senior Computer Vision Engineer to lead the design and deployment of intelligent vision-based systems.
Key Responsibilities:- Design, implement, and optimize computer vision algorithms using classical techniques and deep learning.
- Work with datasets of images, videos, or 3D data (LiDAR, depth sensors) to train and evaluate models.
- Build real-time vision pipelines for tasks like detection, tracking, recognition, and segmentation.
- Research and apply state-of-the-art models (CNNs, Transformers, GANs, etc.) for custom CV use cases.
- Collaborate with data scientists, ML engineers, and product teams to integrate CV systems into products.
- Deploy models to edge devices, cloud environments, or embedded systems depending on application.
- Ensure performance, accuracy, and efficiency of vision systems in production environments.
- Master's or PhD in Computer Vision, Machine Learning, Computer Science, or a related field.
- 4+ years of experience in computer vision and deep learning model development.
- Strong expertise in OpenCV, PyTorch, TensorFlow, and popular CV libraries.
- Experience with image processing, feature extraction, and neural network architectures (CNNs, R-CNN, YOLO, Mask R-CNN, ViT, etc.).
- Hands-on experience with datasets like COCO, ImageNet, KITTI, or custom datasets.
- Strong coding skills in Python and C++ (optional but valuable).
- Knowledge of real-time processing, model compression, and deployment to mobile/edge (e.g., TensorRT, ONNX, TFLite).
- Experience with 3D vision, SLAM, LiDAR, or AR/VR applications.
- Familiarity with robotics, autonomous systems, or drone vision.
- Experience publishing papers or contributing to open-source CV projects.
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