Join Manulife's AI + Data team as a Machine Learning Engineer in a hybrid capacity. Utilize your machine learning expertise to drive customer-focused innovation across finance and insurance. As a Machine Learning Engineer at Manulife, you will play a crucial role in a cross-functional team focused on delivering scalable AI solutions.

Your responsibilities will include building production-grade models, optimizing data pipelines, and implementing robust infrastructure across diverse datasets. You will collaborate globally, contributing to impactful projects that enhance customer experiences and operational efficiency. Key Responsibilities:
Design and operate ML platforms, pipelines, and systems
Develop reusable patterns for ML and Generative AI workloads




Manage CI/CD processes and infrastructure as code with Terraform
Optimize data pipelines with data engineers for reliability
Ensure model governance and security in AI practices Requirements:
Minimum 4 years of experience in machine learning engineering
Proficiency in Python and familiar with ML libraries
Experience with CI/CD tools like Jenkins, Azure DevOps
Knowledge of cloud platforms and containerization
Bachelor’s degree in Computer Science or equivalent Elevate your career while driving innovation in machine learning at Manulife and impacting industries worldwide.

📌 Machine Learning Engineer At Manulife Toronto (Canada)
🏢 Manulife Insurance Malaysia
📍 Canada