Hello, we’re L’Oréal. We're not just building brands, we're shaping how the world experiences beauty (and it takes a lot of cool jobs to do it). Intrigued? Keep reading, this might be the opportunity you've been searching for.

A Day in the Life

You will join our Europe Data and AI team, based in Madrid, as a key player in our global Beauty Tech ambition. Reporting to the Europe CTO Data & AI, you will be part of a pioneering international team dedicated to building and operating the AI, data, and infrastructure that power next-generation Agentic AI prototypes and production agents across the group.

Your main responsibilities will include:

• Platform Development & Operations: Implement scalable cloud services,Firestoreschemas, and robust logging best practices to ensure our platforms are resilient and efficient.
• Agent & Model Integration: Connectcutting-edgeVertex AI models and Agent Development Kit workflows into production-ready agents that will redefine our business.
• MLOps& Automation: Build and manage reproducible CI/CD pipelines, advanced monitoring, and effective rollback strategies to ensure seamless deployment and operation of our AI models.
• Collaboration & Knowledge Sharing: Create clear documentation, support cross-functional squads, and contribute to innovative lab experiments and demos thatshowcasethe future of Beauty Tech.

We Are Looking For

We are seeking a technical and forward-thinking AI Engineer who is ready to manage projects from concept to company-wide deployment. You are a problem-solver with a strong entrepreneurial spirit and a collaborative mindset. You have a degree in Computer Science (or equivalent) and bring experience in the following areas:

• Cloud Computing: Strong experience with Google Cloud Platform, particularly Cloud Run,Firestore, and Cloud Logging.
• AI & Machine Learning: Hands-on knowledge of Vertex AI and, ideally, the Agent Development Kit for building and integrating AI solutions.
• MLOps/ CI/CD: Proven ability in deploying models, building automated CI/CD pipelines, and ensuring operational excellence.
• Software Engineering: Proficiencyin web technologies (Node.js, React) and containerization using Docker.
• Communication & Agility: Excellent communication skills in English and the ability to learn quickly, document clearly, and work effectively in a cross-functional team.

What’s In It For You

• A place for you to leave your comfort zone and grow beyond your potential (here,you’llbe encouraged to try new things and take risks!)

• Real responsibility from day 1,there’sno sitting on the sidelines at L’Oréal
• An environment where people of every ethnicity, social background, age, religion,genderand sexual orientation as well as people with disabilities are accepted, can speak up, willthriveand are celebrated!
• A place where you can contribute to something bigger! Many of our brands have societal /environmental causes to make concrete difference

Who We Are

L’Oréal is present in 150 markets on five continents. For more than a century, L’Oréal has devoted itself solely to ‘Create beauty that moves the world’; it is now the industry world leader with €42 billion consolidated sales. Together, we solve complex challenges at scale, while making sure we stay committed to making the world a more inclusive and a better place for everyone & our planet.

Today, L’Oréal includes over 9k experts in beauty tech, digital, data and e-comm and is constantly growing. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future. To achieve this ambition, L’Oréal continues to recruit diverse, innovative, skilled, and passionate minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications, and Infrastructure.

We’re committed to guaranteeing inclusive recruitment processes and to advocating for hiring and promoting each candidate in an ethical and equitable way. The Group strictly prohibits discrimination against any applicant for employment because of the individual’s gender identity or expression, sexual orientation, visible and/or invisible disabilities, socio-economic and/or multicultural origins, health conditions, age, religion, or any other characteristics protected by law.