xis.ai, a spin-off from XRAY-LAB, aims to revolutionize industrial quality inspection and process monitoring using Artificial Intelligence. The company's technology enables industries to accurately identify defects and anomalies in split seconds, executing processes in real-time, making it suitable for high-pace production environments. Their platform simplifies the development and deployment of AI-powered visual inspection systems, requiring no AI expertise from users. The process involves importing data, annotating it, training AI models, testing, and deploying them. Industries served include food, electronics, metal, logistics, aerospace, automotive, manufacturing, and pharma. xis.ai also emphasizes its role as a partner for system integrators and automation companies, offering tailored computer vision solutions to enhance visual quality inspection and drive automation.
xis.ai, a spin-off from XRAY-LAB, aims to revolutionize industrial quality inspection and process monitoring using Artificial Intelligence. The company's technology enables industries to accurately identify defects and anomalies in split seconds, executing processes in real-time, making it suitable for high-pace production environments. Their platform simplifies the development and deployment of AI-powered visual inspection systems, requiring no AI expertise from users. The process involves importing data, annotating it, training AI models, testing, and deploying them. Industries served include food, electronics, metal, logistics, aerospace, automotive, manufacturing, and pharma. xis.ai also emphasizes its role as a partner for system integrators and automation companies, offering tailored computer vision solutions to enhance visual quality inspection and drive automation.
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.
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🔍 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
