20 days ago
Remote, MexicoSenior
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.
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.