Researcher in Generative Artificial Intelligence

We are seeking an exceptional AI Research Scientist to join our team and drive innovation at the intersection of Natural Language Processing, Generative AI, and Deep Learning. This role is ideal for someone with a strong academic background, holding a master's or PhD in Computer Science, Mathematics, Physics, Engineering, or a related field, and a passion for exploring the frontiers of artificial intelligence. You'll work on cutting-edge projects involving Large Language Models (LLMs) and image generative systems. Your expertise in Python and modern AI/ML libraries will be essential as you design, train, and deploy scalable models that solve real-world challenges.

We value hands-on experience with large-scale data workflows, including preprocessing, augmentation, and labeling, as well as familiarity with MLOps tools and practices for deploying and monitoring AI solutions. In this role, you'll collaborate with a multidisciplinary team, contribute to research initiatives, and stay ahead of the curve by continuously evaluating emerging technologies and assessing their relevance to our roadmap. If you're driven by curiosity, thrive in a fast-paced environment, and want to make a tangible impact through AI, we'd love to hear from you.

Requirements

• Master's degree or PhD in Computer Science, Mathematics, Physics, Engineering, or a related field
• Solid academic foundation in machine learning, deep learning, and artificial intelligence.
• Proven knowledge in Natural Language Processing techniques, Transformers, Deep Learning, Large Language Models (LLMs) as GPT, Bard or LLaMA, Image generative AI systems as DALL-E, Stable Diffusion or MidJourney.
• Proficiency in Python and relevant AI/ML libraries.
• Experience with large-scale data preprocessing, augmentation, and labeling.
• Familiarity with MLOps tools and practices for deployment and monitoring of AI solutions is a plus.
• Ability to stay current with state-of-the-art AI technologies and evaluate their relevance
• Proficiency in English is mandatory and good level or willingness to learn Spanish is desired

ArcelorMittal is the world's largest steel and mining. 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. Comprising 1,650 researchers spread across 14 Research Centers around the world, our Global R&D team aims to continuously improve 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 team's strong multicultural diversity, with over 30 nationalities, offers international experience and makes it possible to meet global needs. The Digitalization team is part of the ArcelorMittal R&D Spain Lab, and it provides worldwide service within the ArcelorMittal Group. We are a team of more than 70 researchers working on Digitalization and Artificial Intelligence applied to a wide range of activities (manufacturing, product development, environmental, decarbonization, supply chain, commercial, planning & scheduling, etc.). This multidisciplinary team covers a wide variety of scientific and business areas with highly qualified researchers (engineers, mathematicians, physicists, etc.), all of them with deep expertise in combining Science and Business know-how. Their enthusiasm and commitment create an incredible working atmosphere for those that want to enjoy the experience of researching and applying breakthrough ideas in the real industrial world., 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.