Join Manulife, a leading global financial services provider, as a Machine Learning Engineer where you'll be at the forefront of generative AI and financial technology innovation. In this role, you'll be responsible for developing and deploying cutting-edge AI applications, including copilots, summarization tools, and conversational agents, while working in a collaborative environment that supports both internal teams and client-facing platforms.
As a key member of our team, you'll implement and fine-tune large language models, work with vector databases, and build scalable Retrieval-Augmented Generation (RAG) systems. You'll collaborate closely with financial domain experts to understand complex use cases in wealth management, retirement planning, and risk analysis. The role involves building robust APIs, model serving layers, and secure pipelines while ensuring proper monitoring and maintenance.
We offer a comprehensive benefits package including health, dental, vision coverage, retirement plans, and generous paid time off. Our commitment to work-life balance is demonstrated through our hybrid work environment and focus on employee well-being. You'll be part of a global organization that values diversity, innovation, and professional growth.
The position requires strong technical expertise in Python, machine learning frameworks, and cloud platforms, combined with an understanding of financial industry regulations and compliance requirements. You'll be responsible for implementing MLOps workflows, managing model lifecycles, and ensuring all AI deployments meet strict security and compliance standards.
Join us to shape the future of financial services through AI innovation while working with a team that celebrates diversity and supports your professional development. At Manulife, you'll find opportunities to grow your career while contributing to meaningful solutions that help make our customers' lives better.