Job Summary: MLOps Consultant to design, implement, and optimize ML model lifecycle infrastructure and processes, ensuring scalable deployment, monitoring, and maintenance. Key Highlights: 1. MLOps infrastructure design and implementation 2. Collaboration with Data Science, DevOps, and Architecture teams 3. Integration of data and model versioning tools Mexico City ABL \- MLOps Consultant Position: ABL\_ MLOps Consultant Location: Mexico Industry: CPRD Work Mode: Hybrid Your Responsibilities: * Design, implement, and optimize the infrastructure and processes required for the full ML model lifecycle, ensuring efficient and scalable deployment, monitoring, and maintenance in production environments. * Define and build CI/CD pipelines for Machine Learning models. * Automate model training, validation, and deployment processes. * Integrate data and model versioning tools (e.g., DVC, MLflow). * Implement monitoring and retraining practices for production models. * Ensure security, governance, and regulatory compliance across the ML lifecycle. * Collaborate with Data Science, DevOps, and Architecture teams to optimize workflows. Required Knowledge and Experience: * 2+ years of experience in MLOps or DevOps applied to AI projects. Experience with tools such as MLflow, Kubeflow, Airflow, Docker, and Kubernetes. Skills: * Analytical thinking and problem-solving orientation. * Effective communication with technical and functional users. * Ability to translate business requirements into technical BI solutions. * Experience with agile methodologies (Scrum, Kanban) and project management. * Adaptability to multicultural environments and international projects. Your Career at Capgemini * Working in a team environment, our consultants focus on analyzing, designing, and developing technology-based solutions for Capgemini clients. * You will collaborate with functional, technical, and business specialists to help develop the implementation and integration of innovative solutions and systems—including methodologies, techniques, and tools. * You will contribute responsibly and promptly to customer satisfaction by delivering services and products that generate added value. * Capgemini offers competitive compensation and benefits exceeding statutory requirements. * Our global headquarters are in Paris, France, and we operate in over 50 countries. We employ over 340,000 professionals in Mexico, located in Mexico City, Aguascalientes, and Monterrey. * Capgemini has developed proprietary global methodologies: Collaborative Business Experience and Rightshore. You’ll Love Working at Capgemini Because: * We offer a unique recruitment and onboarding experience and support you in building the foundation of your professional career and skills. * We provide a collaborative work environment grounded in our seven core values: Honesty, Boldness, Trust, Freedom, Team Spirit, Humility, and Fun. * We foster an environment that enables you to plan and develop your career. *“At Capgemini Mexico, our goal is to attract top talent and cultivate a diverse and inclusive workplace; therefore, we do not discriminate based on race, gender, sexual orientation, gender identity or expression, or any other personal characteristic. All applications are welcome and will be considered for open positions based solely on candidate merit relative to job requirements and/or experience. For verification purposes, we will securely use your data—including but not limited to video images or screenshots—during selection, hiring, and/or onboarding processes. For your security, please review our Privacy Notice at: https://www.capgemini.com/mx\-es/aviso\-de\-privacidad\-para\-candidatos\-a\-ocupar\-una\-vacante/* Ref. code 431317\-en\_US Posted on 12 Mar 2026 Experience level Experienced Professionals Contract type Permanent Location Mexico City Business unit ABL AMERICAS Brand Capgemini Professional communities Data \& AI