FBS Ops Engineer Manager

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 worldWe’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.RequirementsWhat 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.BenefitsThis 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 inclusive work culture within a globally renowned group Private Health Insurance Pension Plan Paid Time Off Training & Development About CapgeminiCapgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. 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. The Group €22.5 billion in revenues in 2023.

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, ideal 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:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. 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. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. 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. The Group €22.5 billion in revenues in 2023.

Get the future you want At Capgemini, we are driven by a shared purpose: Unleashing human energy through technology for an inclusive and sustainable future.Technology shapes the way we live our lives. How we work, learn, move and communicate. That means our technology expertise, combined with our business knowledge, does more than help you transform and manage your business. It can help you realize a better future and create a more sustainable, inclusive world.It’s a responsibility we don’t take lightly. That’s why, since our inception more than 50 years ago, we have always acted as a partner to our clients, not a service provider. A diverse collective of nearly 350,000 strategic and technological experts across more than 50 countries, we are all driven by one shared passion: to unleash human energy through technology.As we leverage cloud, data, AI, connectivity, software, digital engineering, and platforms to address the entire breadth of business needs, this passion drives a powerful commitment. To unlock the true value of technology for your business, our planet, and society at large. From advancing the digital consumer experience, to accelerating intelligent industry and transforming enterprise efficiency, we help you look beyond ‘can it be done?’ to define the right path forward to a better future.

Get the future you want

At Capgemini, we are driven by a shared purpose: Unleashing human energy through technology for an inclusive and sustainable future.

Technology shapes the way we live our lives. How we work, learn, move and communicate. That means our technology expertise, combined with our business knowledge, does more than help you transform and manage your business. It can help you realize a better future and create a more sustainable, inclusive world.

It’s a responsibility we don’t take lightly. That’s why, since our inception more than 50 years ago, we have always acted as a partner to our clients, not a service provider. A diverse collective of nearly 350,000 strategic and technological experts across more than 50 countries, we are all driven by one shared passion: to unleash human energy through technology.

As we leverage cloud, data, AI, connectivity, software, digital engineering, and platforms to address the entire breadth of business needs, this passion drives a powerful commitment. To unlock the true value of technology for your business, our planet, and society at large. From advancing the digital consumer experience, to accelerating intelligent industry and transforming enterprise efficiency, we help you look beyond ‘can it be done?’ to define the right path forward to a better future.