Company Description
xis.ai is an end-to-end visual inspection solution provider with a fully integrated, no-code Vision AI platform that enables future-proof quality inspection for enterprises. The platform allows manufacturers in sectors like automotive, food, and pharmaceuticals to set up, run, and monitor AI inspection systems without coding. Supporting real-time defect detection, the platform integrates with various hardware and offers user-friendly dashboards for monitoring and scaling. xis.ai aims to enhance operational efficiency, reduce errors, and maintain high-quality standards across businesses.
- 🔍 ResponsibilitiesDevelop and optimize computer vision algorithms for real-time image and video analysis.
- Implement and fine-tune deep learning models for defect detection and visual inspection tasks.
- Work with image processing libraries (e.g., OpenCV, scikit-image) and GPU acceleration (CUDA).
- Collaborate with senior engineers to deploy solutions in production environments.
- Contribute to the development of scalable, efficient, and maintainable codebases.
- 💡 RequirementsBachelor’s degree (or higher) in Computer Science, Electrical Engineering, Robotics, or related field.
- Strong Python programming skills with clean, modular, and efficient code practices.
- Solid understanding of computer vision fundamentals — feature extraction, image filtering, transformations, object detection, etc.
- Hands-on experience with libraries such as OpenCV, NumPy, PyTorch/TensorFlow, or CUDA.
- Basic working knowledge of C++ for performance-critical modules.
- Familiarity with GPU computing, real-time processing, or embedded vision systems is a plus.
- 🌱 What We OfferWork with cutting-edge AI vision systems used in real industrial environments.
- Mentorship and technical growth under experienced engineers.
- Exposure to full AI pipelines — from research to deployment.
- A collaborative and innovation-driven culture.
If you miss the application for job post you can contact me here ahmed.kamran@xray-lab.com
