FBS Ops Engineer Manager

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June 26

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Capgemini

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Enterprise • Artificial Intelligence • Cybersecurity

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

10,000+ employees

Founded 1967

🏢 Enterprise

🤖 Artificial Intelligence

🔒 Cybersecurity

📋 Description

• 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. • 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. • 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.

🎯 Requirements

• 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. • 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

• 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