Principal Engineer

Hace 4 días

Querétaro Qro, Querétaro (municipio); Estado de Querétaro Arteaga, México Capgemini Jornada completa
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). 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, ideal for someone who thrives on impact and innovation. Build and maintain end-to-end ML pipelines and CI/CD workflows for scalable model deployment. Partner cross-functionally with Data Science, Engineering, and DevOps teams to seamlessly integrate ML models into production. 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). Competitive salary and performance-based bonuses Comprehensive benefits package Career development and training opportunities Flexible work arrangements (remote and/or office-based) Dynamic and inclusive work culture within a globally renowned group Private Health Insurance Pension Plan Paid Time Off Training & Development About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.