Senior ML Engineer

We are seeking a highly skilled Senior Machine Learning Engineer to joinourHealth AISquad at Manulife Asia based in Singapore/Hong Kong. This role will focus on building scalable production-grade AI/ML and GenAI capabilities thatadvance Health AIacross Asia. As part of the regionalHealthAIteam you will design buildand operate robust data pipelines model services and GenAI platforms that turn complex health data into practical solutions while applying modern machine learning and Generative AI patterns such as retrieval augmented generation prompt engineering function calling and agentic workflows to help deliver Health AI at scale across multiple Asian markets.

Position Responsibilities:

• Design build and maintain scalable data pipelines and feature engineering workflows to support Health AI model development evaluation and production deployment.
• Develop robustMLOpspractices across the model lifecycle including experiment tracking model versioning CI/CD automated testing monitoring and governance-ready release processes.
• Build and operate reliable model serving capabilities APIs batch inference jobs and GenAI services that can scale across multiple Health AI use cases and markets.
• Partner with data scientists data engineers AI developers and IT teams to productionize machine learning and GenAI solutions using approved cloud architecture security standards and reusable engineering patterns.
• Implement modern AI engineering patterns such as retrieval augmented generation prompt orchestration function calling agentic workflows vector search and evaluation frameworks for Health AI solutions.
• Improve reliability performance cost efficiency and observability of Health AI platforms through logging monitoring alerting model performance tracking and continuous optimization.
• Create reusable templates tools and engineering standards that help teams accelerate the delivery of production-grade Health AI capabilities.
• Stay current with advances in machine learning engineeringMLOps cloud-native AI platforms and Generative AI architecture to continuously strengthen Health AI delivery.

Required Qualifications:

• An advanced degree in Computer Science Machine Learning Engineering Data Science Statistics or another quantitative field complemented by strong hands-on experience in production machine learning engineering.
• Proven experience6 yearsdesigning and operating scalable data pipelines feature engineering workflows and model training pipelines for production AI/ML systems.
• StrongMLOpsexpertise across the full model lifecycle including experiment tracking model versioning CI/CD automated testing deployment automation monitoring and release governance.
• Hands-on experience building and scaling model serving capabilities APIs batch inference pipelines and GenAI services on cloud platforms such as Azure Databricks Spark and containerized deployment environments.
• Advanced programming skills in Python and SQL with practical experience in ML frameworks data processing tools orchestration pipelines and GenAI engineering packages such asLangChainLangGraph ADK orCrewAI.
• Practical knowledge of modern GenAI engineering patterns including retrieval augmented generation vector search prompt orchestration function calling agentic workflows and evaluation frameworks.
• Experience improving platform reliability performance cost efficiency and observability through logging monitoring alerting model performance tracking and continuous optimization.
• Ability to translate Health AI use cases into secure reusable production-grade engineering patterns in partnership with data science data engineering IT and business teams.
• Strong communication ownership and mentoring skills with the ability to guide engineering best practices and collaborate effectively across technical and non-technical stakeholders.

What motivates you

• You obsess about customers listen engage and act for their benefit.
• You think big with curiosity to discover ways to use your agile approach and enable business outcomes.
• You thrive in teams and enjoy getting things done together.
• You take ownership and build solutions focusing on what matters.
• You do what is right work with integrity and speak up.
• You share your humanity helping us build a diverse and inclusive work environment for everyone.

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 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 .