Job Description

Are you enthusiastic about machine learning and keen to demonstrate your skills in an innovative environment? Join Manulife as a Machine Learning Engineer and become an integral part of our Global AI team! This is a groundbreaking opportunity to work on pioneering projects that generate significant business value for our organization. You'll collaborate closely with a variety of teams, including stakeholders in the Insurance and Investment segments, Technology partners, Data Office, Operations, Sales, and Distribution, to successfully implement world-class analytics solutions!

Position Responsibilities:

• Design and implement highly scalable, distributed machine learning pipelines in collaboration with data and platform teams.
• Design, implement, and operate AI runtimes and services leveraging event‑driven and distributed systems patterns.
• Optimize, deploy, and monitor ML models and AI services in production‑grade, large‑scale environments
• Build and maintain data science and ML platform infrastructure using Azure cloud services
• Develop Generative AI applications, including Retrieval‑Augmented Generation (RAG) systems and fine‑tuned Large Language Models (LLMs), designed for global reuse and scalability.
• Define and enforce platform standards, patterns, and best practices for AI service development and deployment.
• Collaborate with multi‑functional teams to integrate AI solutions into enterprise systems and workflows
• Document platform architecture, ML system designs, runtime patterns, and deployment workflows in a clear, comprehensive manner.
• Develop automation tools and scripts to enable self‑service deployment, scaling, and lifecycle management of AI systems in the cloud.

Required Qualifications:

• 3+ years of experience in ML engineering, platform engineering, distributed systems, DevOps, or data science roles.
• 3+ years of hands‑on experience with Azure / cloud technologies (e.g., Databricks, MLflow, AKS, Web App Service).
• Strong Java programming skills and advanced SQL knowledge.
• Experience deploying models or AI services as REST or event‑driven APIs
• Experience with Docker, Kubernetes, and cloud‑native infrastructure.
• Experience with Python
• Working knowledge of LLMs (GPT‑based models, BERT, Llama) and prompt / inference engineering
• Experience with DevOps and platform engineering practices, including Git and CI/CD pipelines.
• Ability to design and deliver pragmatic, production‑ready solutions under tight timelines.
• Degree or equivalent experience in Computer Science, Data Science, Engineering, or a related field.

Preferred Qualifications:

• Experience building internal platforms or developer enablement systems used by multiple teams.
• Experience in the insurance or financial services industry

When you join our team:

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

#LI-Hybrid

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$94,430.00 CAD - $144,430.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement