Computer Vision Expert

1 day ago

Lahore, Punjab, Pakistan tkxel Full time

We are seeking a highly skilled and innovative Computer Vision Expert to join our AI/ML team. The ideal candidate will design, develop, and deploy computer vision solutions to solve real-world problems using image and video data. This role requires a strong background in machine learning, deep learning, and computer vision, with hands-on experience in building production-grade systems.

Key Responsibilities:

  • Design and develop end-to-end computer vision models for object detection, image segmentation, classification, tracking, OCR, and 3D vision.

  • Work with large-scale image/video datasets, including data collection, cleaning, annotation, and augmentation.

  • Optimize and deploy models to production on edge devices, cloud platforms, or embedded systems.

  • Collaborate with cross-functional teams including software engineers, product managers, and domain experts to integrate vision solutions.

  • Stay current with the latest research in computer vision and deep learning, and apply relevant techniques to existing projects.

  • Conduct experiments, analyze performance metrics, and iterate quickly to improve model accuracy and robustness.

RequirementsRequired Qualifications:

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field. PhD is a plus.

  • 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.

  • Familiarity with cloud services (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is a plus.

Preferred Skills:

  • Experience working with video analytics or real-time processing.

  • Familiarity with edge AI and embedded systems (e.g., NVIDIA Jetson, Coral).

  • Contributions to open-source computer vision projects or research publications.

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