20 publicaciones de empleo destacadas de devops engineer en ecatepec, mex (¡Están contratando!)

IT Applied AI Engineer
l'Oréal —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Maestría
Postulación rápida
8d
Cloud DevOps Engineer
VASS Mexico —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
- Descuento de gimnasio
Senior Artificial Intelligence DevOps Engineer
Cotiviti —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Azure
- Informática
2d
DevOps Engineer, Enterprise Automation
Kone —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de la vista
Requirements Engineer III, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- Administración de personal
- DevOps
Azure Cloud Infrastructure Specialist
Excelia, SL —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
Postulación rápida
5d
Senior Infrastructure & Observability Engineer
SoftwareONE —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
8d
Data Engineer Senior
R&R It Consulting Negocios Integrales —Naucalpan, Méx.
- Tiempo completo
- Azure
- DevOps
- Ingeniería
Postulación rápida
12h
ML Ops Engineer JR
Ucloud —Ciudad de México, CDMX
- DevOps
- Python
Postulación rápida
Cloud L2 Engineer
Connectingology —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Seguro de vida
Cloud Engineer
Luxoft —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
SAP S/4 Basis Engineer
Bayer —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Informática
- DevOps
2d
Operations Team Lead Trainee
Talento Humano —Colonia Polanco, CDMX
- $22,000 a $25,000 por mes
- Tiempo completo
- Administración de personal
- DevOps
- Inglés
Postulación rápida
7d
Data Engineer
Orion Innovation —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- DevOps
- Ingeniería
Postulación rápida
8d
DevOps Specialist - Mexico Residents
Arcadion —Colonia Polanco, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
Postulación rápida
AI First Data Engineer
PALO IT —Ciudad de México, CDMX
- Azure
- DevOps
- Inglés
Postulación rápida
Sr. Cloud Engineer
BSL-LIM Mexico —Estado de México, Méx.
- Tiempo completo
- Azure
- DevOps
- Linux
Postulación rápida
Engineering Manager
Backbase —Ciudad de México, CDMX
- Administración de personal
- DevOps
- Inglés
Postulación rápida
Integration Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Informática
- DevOps
- SQL
Postulación rápida
Automation Engineer
Cognizant —Colonia Polanco, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Java

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IT Applied AI Engineer

l'Oréal -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 8 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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