Researcher in Computer Vision
ArcelorMittal is the world's largest steel producer. We use the most innovative technologies to create the steels tomorrow's world will be made of. Every day over 125,000 of our talented people, located in over 60 countries, push the boundaries of digitalization, and use advanced technologies to create a stronger, faster, and smarter world. To help make this possible, they know they can depend on the support and training that a company of our scope and scale can provide.
Our Global R&D team consists of 1,650 researchers spread across 14 Research Centers worldwide, continuously improving the quality of steel and its manufacturing processes. This involves investigating and developing disruptive technologies, reducing the carbon footprint of steel, and optimizing costs while maintaining uncompromising quality. The Digitalization team, part of the ArcelorMittal R&D Spain Lab, includes more than 70 researchers working on Digitalization and Artificial Intelligence applied to a wide range of activities such as manufacturing, product development, environmental, decarbonization, supply chain, commercial, and planning & scheduling.
Responsibilities
We are seeking a talented and motivated professional to join our team as a Computer Vision Specialist focused on industrial applications. The ideal candidate will have an advanced degree in a technical field and a strong foundation in computer vision, particularly in solving real-world challenges. The role involves developing and deploying computer vision models, working with large datasets, and contributing to robust, scalable solutions. Familiarity with modern software development practices, real-time processing constraints, and collaborative workflows will be highly valuable.
Qualifications
Masters Degree or PhD in Data Computer Science, Industrial Engineering, Applied Mathematics, or a related field
Strong background in Computer Vision, especially in industrial applications (e.g., defect classification, object tracking, segmentation)
Proficiency in Python and relevant libraries
Experience with deep learning architectures (CNNs, transformers, etc.) for vision tasks
Solid understanding of image processing techniques and their application in manufacturing environments
Proven experience in deploying CV models in production environments
Solid experience in handling large-scale image and video datasets
Familiarity with data labeling tools and annotation workflows
Familiarity with edge computing and real-time inference constraints
Experience with version control (Git), unit testing, and modular code design
Knowledge of MLOps practices
Interest in continuous learning and staying updated with the latest CV trends
Proficiency in English is mandatory; a good level or willingness to learn Spanish is desired
Join us and you'll see your work help create renewable energy, impact major industries and boost economies. At ArcelorMittal we'll help you make your world.
Employment Details
Seniority level: Entry level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Mining
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