3 publicaciones de empleo destacadas de data scientist en aguascalientes ags. (¡Están contratando!)

MLOps Engineer
Capgemini —Aguascalientes, Ags.
- Administración de personal
- DevOps
- Inglés
Arquitecto Back End
Capgemini Sogeti —Aguascalientes, Ags.
- Azure
- Java
- Experiencia en bases de datos
MLOps Engineer
Capgemini Sogeti —Aguascalientes, Ags.
- Administración de personal
- DevOps
- Inglés

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Arquitecto Back End
Capgemini Sogeti —Aguascalientes, Ags.
Design and govern the backend architecture of distributed systems, ensuring scalability, resilience, and efficiency in data and process management.

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MLOps Engineer

Capgemini -
Aguascalientes, Ags.

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Información del empleo

Cualificaciones

Administración de personal
Ingeniería de software
DevOps
Inglés
Herramientas de automatización
SQL
Garantía de calidad
Python

Descripción completa del empleo

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

As an MLOps Engineer at Capgemini, you will be responsible for enabling the reliable, scalable, and efficient deployment of AI and Machine Learning solutions across enterprise environments.
This role combines software engineering, cloud technologies, automation, and MLOps practices to bridge the gap between data science and production operations.
You will work closely with Data Scientists, Data Engineers, Architects, and client stakeholders to operationalize ML models, build reusable frameworks, and accelerate the adoption of AI-driven solutions.
Accelerate your growth through continuous learning, gaining exposure to cloud, MLOps, automation, and emerging AI technologies at enterprise scale.
Drive meaningful impact through innovation, creating automated, reusable frameworks and platforms that enable faster delivery and sustainable value for clients.

Your Profile

5+ years of overall experience in Data Analytics.
4+ years of experience with MLOps, ML Engineering, Software Engineering, or Data Engineering, with a proven track record of deploying and supporting production-grade machine learning solutions.
Experience building scalable machine learning systems and data-driven products working with cross-functional teams.
Strong proficiency in Python, SQL, and Databricks, including experience developing reusable frameworks, automation tools, and scalable data-driven applications.
Hands-on experience with CI/CD, DevOps, and MLOps practices, including automated testing, deployment pipelines, version control, and model lifecycle management.
Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge of multiple programming languages.
Proficiency in Python and experience with common data analytics packages.
Fluent English level

What you’ll love

Empowered Careers with Purpose Work on meaningful projects that use technology to solve real-world challenges.
Be part of a company that values sustainability, inclusion, and digital equity.
Contribute to building a better future for people, planet, and society.

Need to know

This role can be working from any state of Mexico

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.

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