MLOps Engineer

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MLOps Engineer in Remote new

Capgemini
Full time
Email

Remote
09/20/2026
Report

Mexico

Responsibilities

Enable the reliable, scalable, and efficient deployment of AI and machine learning solutions across enterprise environments.
Build reusable frameworks, automation tools, and platforms for scalable machine learning systems and data-driven applications.
Operationalize and support production-grade machine learning models, including model lifecycle management.
Collaborate with Data Scientists, Data Engineers, Architects, and client stakeholders.
Develop and maintain automated testing and deployment processes across development, QA, and production environments.

Requirements

At least 5 years of overall experience in Data Analytics.
At least 4 years of experience in MLOps, ML Engineering, Software Engineering, or Data Engineering, including deployment and support of production-grade machine learning solutions.
Experience building scalable machine learning systems and data-driven products with cross-functional teams.
Strong proficiency in Python, SQL, and Databricks.
Experience with MLOps, DevOps practices, automation, deployment pipelines, version control, and model lifecycle management.
Strong software engineering skills, including object-oriented programming, multiple programming languages, and development, QA, and production environments.
Proficiency in Python and experience with common data analytics packages.
Fluent English.

Benefits

Work on meaningful technology projects addressing real-world challenges.
Continuous learning and exposure to cloud, MLOps, automation, and emerging AI technologies at enterprise scale.
Work in an environment focused on sustainability, inclusion, and digital equity.
The role can be performed from any state of Mexico.

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 420,...

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