Overview
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-en
Full job description
Full Job 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, 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:
- 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. 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.
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