For more than a century, L’Oréal has devoted its energy, innovation, and scientific excellence solely to one business: Beauty. Our goal is to offer every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity.
At L'Oréal, our IT teams design and build solutions to ensure high performance for all our business sectors by imagining new ways of doing things, from designing websites to building algorithms and predicting new trends. They can be found leading teams towards a more connected and digitalized future in IT retail, e-commerce, CRM, data, AI, cybersecurity, Cloud and E-Marketing. You never stop learning at L'Oréal IT because things change at the speed of light! Come join our dynamic team!
What you will do:
- Lead, demonstrate, and inspire an AI-first engineering culture, driving widespread team adoption, experimentation, and use of industry-leading AI tools for development and deployment (e.g., Cursor, Devin, etc.)
- Advise on development and implementation of platform engineering strategies, identifying potential areas for automation aligned with business objectives; help define clear KPIs, ROI, and adoption targets to measure impact.
- Collaborate with cross-functional teams (Data, Security, Privacy, Sourcing…etc) to support technical and business teams
- Champion trustworthy AI, including bias/fairness, explainability, safety, privacy-by-design, and model risk management; lead vendor and technology assessments.
- Monitor and analyze AI and automation trends, tools, and best practices; assess their applicability and drive timely, value-focused adoption.
- Help develop robust MLOps/GenAIOps pipelines, experiment tracking, model and prompt versioning, automated evaluation, and production monitoring/observability.
- Document technical design, and operating procedures; contribute to code reviews, standards, and high-quality engineering practices; create reusable playbooks, templates, and guidelines.
What we are looking for:
- Education: Degree in a quantitative field (e.g., Statistics, Mathematics, Data Science) or equivalent experience.
- Experience in AI/ML/GenAI solutions; at least 6 months of production-grade GenAI experience.
- MLOps/GenAIOps: Experience building end-to-end ML systems (pipelines, CI/CD, model registries, monitoring) and applying analogous practices for GenAI (prompt/version management, automated evals, drift monitoring).
- Practical experience with Generative AI and Large Language Models (LLMs), including but not limited to prompt engineering, retrieval-augmented workflows, embeddings, and evaluation/guardrails for safe deployment.
- Knowledge of Responsible AI principles and best practices, including vendor assessment and due diligence.
- Strong proficiency in Python and Git and Terraform
- Experience working in Google Cloud Platform (GCP); ability to leverage managed AI/ML services and build secure, scalable architectures.
- Experience managing an engineering team as a lead
- Excellent written and verbal communication skills
- Outstanding functional and technical communication skills and demonstrated business and IT collaboration.
- Ability to clarify and simplify technical concepts, translate needs into solutions.
- Strong problem-solving skills and experience with agile, roadmap planning, and iterative delivery.
- Demonstrated ability to manage projects and strong ability to influence others.
- Innovator with quick absorption of new technologies; strong understanding of technology solutions.
- Strong interpersonal skills with ability to work as a member of cross functional teams.
Don’t meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles!
We are an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status.