Senior Computer Vision Engineer
About the job
Title: Computer Vision Engineer | KSA / Remote
Tech Stack: Python, C++, OpenCV, PyTorch, TensorFlow, Keras, Dlib, YOLO, Faster R-CNN, ResNet, Mask R-CNN, CUDA, Docker, Git, AWS/GCP/Azure
What You’ll Do:
Join an R&D-heavy team solving complex real-world problems through advanced computer vision and machine learning. You'll develop and optimize algorithms for real-time video/image analysis, including object detection, segmentation, and classification. Expect hands-on work with model training, optimization for edge/cloud environments, and tight collaboration with data, product, and engineering teams. You'll also prototype new solutions and help integrate vision models into production systems used in mission-critical applications.
Who They Are:
An innovation-first product company working at the frontier of AI and vision intelligence. Their platform is used in next-gen hardware and smart infrastructure across various sectors. With a focus on cutting-edge research and real-world impact, they offer a fast-paced and intellectually stimulating environment where engineers have real influence on product direction.
Benefits
- Salary 35 - 45k SAR
- Visa and medical insurance
- Relocation support
- Career growth
Requirements
- 5+ years in computer vision, with hands-on experience across detection/classification/segmentation models
- Strong experience with deep learning frameworks (TensorFlow, PyTorch, Keras), OpenCV, and classical image processing
- Proficient in Python and/or C++
- Experience with cloud-based deployment (AWS, GCP, or Azure), Docker, and GPU acceleration (CUDA)
- Solid grasp of ML techniques including CNNs, transfer learning, model optimization, and training at scale
- Familiarity with camera calibration, 3D vision, and optical flow
- Bachelor's or Master’s in CS, AI, or a related field
Bonus
- Worked on edge devices (Jetson, Coral), SLAM, or sensor fusion (LIDAR, radar)
- Published papers, patents, or contributions to open-source CV/ML projects
- Experience in real-time video processing or multi-threaded systems
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