Description
Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C;). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world
We’re looking for an ML Ops Engineering Manager to drive the architecture, implementation, and evolution of our machine learning operations. This is a hybrid role blending technical execution and strategic leadership, idóneo for someone who thrives on impact and innovation.

Requirements
What You’ll Do:
• Define and drive the technical vision for MLOps in alignment with enterprise goals.
• Build and maintain end-to-end ML pipelines and CI/CD workflows for scalable model deployment.
• Lead and grow a high-performing MLOps team, fostering a culture of best practices and continuous improvement.




• Partner cross-functionally with Data Science, Engineering, and DevOps teams to seamlessly integrate ML models into production.
• Stay ahead of the curve on emerging ML/AI tools, trends, and architectures—and lead innovation from within.

Tech Stack & Requirements:
• Proven experience in MLOps and machine learning infrastructure.
• Hands-on expertise with Python and AWS (SageMaker, Lambda, etc.).
• Strong background in CI/CD, model versioning, monitoring, and automation.
• Fullstack experience is a plus (not required but valuable).
• A passion for scalable systems and enabling ML success across the organization.

Benefits
This position comes with competitive compensation and benefits package:
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and in

📌 FBS Ops Engineer Manager (México)
🏢 Capgemini
📍 México