
Advanced Computer Vision Specialist
3 days ago
We are seeking a skilled and innovative engineer to join our team. The ideal candidate will design, develop, and deploy computer vision solutions to solve real-world problems using image and video data.
The successful candidate will have a strong background in machine learning, deep learning, and computer vision, with hands-on experience in building production-grade systems.
The candidate will work on designing and developing end-to-end computer vision models for object detection, image segmentation, classification, tracking, OCR, and 3D vision.
The role requires the ability to work with large-scale image/video datasets, including data collection, cleaning, annotation, and augmentation.
The candidate will optimize and deploy models to production on edge devices, cloud platforms, or embedded systems.
The position involves collaborating with cross-functional teams to integrate vision solutions.
The ideal candidate will stay current with the latest research in computer vision and deep learning, applying relevant techniques to existing projects.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
3+ years of hands-on experience in computer vision and deep learning.
Proficient in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Strong understanding of classical computer vision techniques (OpenCV, feature extraction, image processing).
Experience with neural networks for image classification, object detection (YOLO, Faster-RCNN, SSD), and segmentation (UNet, Mask-RCNN).
Experience with model optimization and deployment tools such as TensorRT, ONNX, or OpenVINO.
Experience working with video analytics or real-time processing.
Familiarity with edge AI and embedded systems (e.g., NVIDIA Jetson, Coral).
This is an exciting opportunity to join a cutting-edge team and contribute to the development of innovative computer vision solutions.
The ideal candidate will be able to demonstrate their expertise in computer vision and deep learning, and showcase their ability to work effectively in a collaborative environment.
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