20 publicaciones de empleo destacadas de machine learning en cuajimalpa, dif (¡Están contratando!)

IT Applied AI Engineer
l'Oréal —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Maestría
Postulación rápida
2d
Sr Data Scientist
PRGX Global, Inc —Colonia Lomas de Chapultepec, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Postulación rápida
3d
Especialista Senior en Ciencia de Datos – IA Aplicada a Operaciones y Logística
PS GRUPO HUNTING —Ciudad de México, CDMX
- $9,428.50 a $23,482.18 por mes
- Correo electrónico
- Trabajo híbrido
- Inglés
- Investigación
- SQL
Postulación rápida
0152 - Data & Analytics Engineer Mid
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Ingeniería
- Inglés
- SQL
Postulación rápida
Senior Backend Engineer (Python) - Content Understanding
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- CAD
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Data Scientist
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Doctorado
- Informática
Postulación rápida
(4058) Data Scientist Sr
ALTEN MÉXICO —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- Maestría
- SQL
- Seguro de la vista
Postulación rápida
0151 - Python Developer Mid
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Ingeniería
- Microsoft Office
- SQL
Postulación rápida
Copy of PhD Computer Science Expert for AI Training
Lifted, an Upwork Company™ —Ciudad de México, CDMX
- Home Office (Desde casa)
- Doctorado
- Informática
Postulación rápida
12d
Sr Embedded Eng Supervisor
Honeywell —Azcapotzalco, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Maestría
Data Scientist
Jellyfish —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- SQL
- Python
Postulación rápida
Data Engineer (Azure) - Remote, Latin America
Bluelight Consulting —Naucalpan, Méx.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
6d
Desarrollador IA
Babel —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
- Oportunidades de crecimiento
Senior FullStack Dev
NEXU —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- SQL
Postulación rápida
ESPECIALISTA APLICACIONES
Grupo Financiero Banorte —Ciudad de México, CDMX
- Ingeniería
- Análisis de datos
- Mantenimiento
Senior Data Scientist
Jellyfish —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- SQL
- Python
Postulación rápida
Data Scientist - AI
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
Postulación rápida
la26.042 - Data Engineering Lead
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Marketing Data Scientist, Data & AI Enablement
Vonage —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Doctorado
- Maestría
Postulación rápida
WordPress Developer / AI Specialist
Growmodo GmbH —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- JavaScript
- HTML
Postulación rápida

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IT Applied AI Engineer

l'Oréal -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 2 días

Cualificaciones

Modelos de inteligencia artificial
Informática
DevOps
Google Cloud Platform
Maestría
SQL
Licenciatura
Ciberseguridad
Python

Descripción completa del empleo

A Day in the Life

As an AI Engineer / Data Scientist in our AI & Tech Accelerator, you will pioneer the future of beauty by engineering and deploying scalable solutions using advanced Machine Learning and Generative AI. Reporting into the AI & Tech Accelerator team, you will analyze and solve complex challenges for the L’Oréal Americas market, turning data-driven models into business value and innovation.

Develop & Deploy Advanced AI Solutions: You will design and implement state-of-the-art models using Machine Learning and Large Language Models (LLMs), and explore Agentic AI patterns to create autonomous workflows.
Innovate with Generative AI: You’ll lead initiatives for novel applications of Generative AI, ensuring we stay ahead of the technology curve.
Drive Cross-Business Impact: Your work will create scalable AI solutions for a diverse range of use cases across L’Oréal brands and business units, from marketing to supply chain.
Collaborate & Co-Create: You will partner with cross-functional agile teams including Data Engineers, UX/UI Designers, and DevOps Engineers to integrate AI models into production-ready products.

We Are Looking For

We are seeking a curious, collaborative innovator who thrives in a dynamic environment and is ready to make a tangible business impact. The ideal candidate has:

A Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
Proven experience coding and deploying AI/ML models.
Advanced proficiency in Python, SQL, and a strong foundation in Machine Learning and Deep Learning.
Familiarity with Generative AI, agentic workflows, and cloud environments (preferably GCP).
The drive to learn quickly and explain complex technical concepts to diverse stakeholders.

What’s In It For You

A place for you to leave your comfort zone and grow beyond your potential (here, you’ll be encouraged to try new things and take risks!)
Real responsibility from day 1, there’s no sitting on the sidelines at L’Oréal
An environment where people of every ethnicity, social background, age, religion, gender and sexual orientation as well as people with disabilities are accepted, can speak up, will thrive and 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

Join us at L’Oréal, the world's #1 beauty company present in over 150 markets. For over a century, we have been transforming; fueled by data, tech, innovation, and science. Together, we tackle big challenges 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.
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Postulación rápida

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