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Protex AI

Publiée il y a 3 jours

Senior Computer Vision & MLOps Engineer

    Outils et compétences cités dans l'annonce

    Agents IA

    Description du poste

    We’re building Site Intelligence, an AI platform that connects cameras, enterprise systems and operational knowledge to give businesses a real-time understanding of what’s happening across their operations Our computer vision technology transforms video into structured operational data, while AI agents turn that data into insights, investigations and actions. We’re helping some of the world’s largest enterprises improve safety, eliminate inefficiencies and increase productivity We’ve built a strong foundation in safety. Now we’re expanding into a much bigger opportunity: using AI to fundamentally change how industrial operations are understood, managed and optimised The Computer Vision Operations team owns the machine learning lifecycle behind every Protex detection We build and run the pipelines that turn video from client sites into curated datasets, train and evaluate our detection models, and optimise and release them to edge devices deployed around the world Our current focus is delivering reliable detections to both the existing Safety product of Protex and the rapidly expanding new Operations product You will work with other experienced engineers driving continuous improvement of the machine learning lifecycle behind Protex AI’s detections: the data and training pipelines, model evaluation and release, and monitoring in production This is a hands-on individual contributor role Your influence comes from leading high-impact work across teams, setting the technical standards others build on, championing client needs in technical discussions, and helping the engineers around you grow You understand both the product and the technical aspects, and can drive key initiatives to fulfill both Shape the work before it is built: partner with product managers in scoping, design and drive the implementation Set the technical direction for our ML platform. You continuously learn about the latest trends in computer vision and can balance those with the real-world

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