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.
Requirements
Required 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.