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

📌 MLOps Engineer (Aguascalientes)
🏢 Capgemini
📍 Aguascalientes