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Permanent

Mexico City

Estado de México

Tech

Full

• Time

02-Feb-2026

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!

About the role:

We are looking for an AI Engineer / Data Scientist to integrate
into our AI & Tech Accelerator. You will engineer and deploy scalable
solutions using advanced Machine Learning, GenAI, and emerging Agentic AI
workflows. Your mission will be to analyze and solve complex strategic and
operational challenges across the L’Oréal Americas market, leveraging
data-driven models to drive innovation and business value across various
domains.

Key Responsibilities:

In
this role, you will sit at the intersection of innovation and implementation,
driving the adoption of cutting-edge AI across L’Oréal.

• Develop
  & Deploy Advanced AI Solutions: Design
  and implement state-of-the-art models using Machine Learning and Large Language
  Models (LLMs) to solve complex business problems. You will also explore and
  implement Agentic AI patterns to create autonomous workflows that enhance
  decision-making and efficiency.

• Innovate
  with Generative AI: Lead research and
  deployment initiatives for novel applications of Generative AI, including
  diffusion models and multi-agent systems, ensuring we stay ahead of the
  technology curve in automating complex tasks.

• Drive
  Cross-Business Impact: Create
  scalable AI solutions for a diverse range of use cases across multiple L’Oréal
  brands and business units, addressing needs in marketing, supply chain, retail,
  and operations and much more.

• Collaborate
  & Co-Create: Work closely with
  cross-functional agile teams—including Data Engineers, UX/UI Designers,
  Full-Stack Developers, and DevOps Engineers—to integrate AI models into
  production-ready products.

• Act as a
  Technical Advisor: Partner with business
  stakeholders to assess the feasibility of new AI use cases, translating
  technical possibilities into business strategy.

• Knowledge
  Sharing: Animate the internal Data
  Science community by sharing best practices, mentoring peers, and fostering a
  culture of continuous learning and technical excellence.

What
we are looking for:

We
are seeking a curious, collaborative innovator who thrives in a dynamic
environment. You should value autonomy, team spirit, and the desire to make a
tangible business impact.

Education:

& Experience:

Master’s or Bachelor’s:

degree in Computer Science, Statistics, Machine Learning, or a related
quantitative field. Proven
real-world experience (1+ years) coding and deploying AI/ML models
(internships, co-ops, or full-time roles).
Technical
Expertise:

• Core AI/ML: Strong foundation in Machine Learning and Deep Learning with
  proficiency in the Data Science ecosystem (pandas, numpy, scipy, sklearn,
  tensorflow, etc.).

• Programming
  & Engineering: Advanced proficiency in
  Python and SQL, with a solid grasp of Object-Oriented Programming (OOP) and
  software engineering best practices.

• Generative
  & Agentic AI: Deep understanding of
  Large Language Models (GPT, Claude, Llama, Gemini) and Diffusion Models.
  Familiarity with building agentic workflows (e.g., using Lang Graph, CrewAI,
  Auto Gen) or chaining LLMs for complex reasoning tasks is highly desirable.

• DevOps
  & MLOps: Familiarity with
  development tools (Git, Docker, Terraform), CI/CD pipelines (Jenkins,
  CircleCI), and MLOps platforms (Vertex AI, MLflow, DVC).

• Cloud
  Platforms: Experience working within
  cloud environments, particularly Google Cloud Platform (GCP) and Databricks.

Soft

Skills & Mindset:

• Entrepreneurial
  Spirit: You approach problems with
  curiosity and a strategic mindset, ready to build solutions from the ground up.

• Adaptability: You may not be an expert in every single tool listed above, but
  you possess the drive to learn quickly and innovate.

• Communication: Ability to explain complex technical concepts to non-technical
  stakeholders effectively.

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.

Apply now

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