Manulife is seeking a Senior Machine Learning Engineer to drive the design, development, and operation of AI/ML and GenAI platforms, data pipelines, and production-grade model services. This role powers multiple AI use cases across ASIA as part of our AI enablement initiative.

What You'll Do

Design, build, and operate scalable data pipelines (batch and streaming) to prepare curated datasets for ML and GenAI use cases.
Partner with Asia data office and IT teams to understand source systems, validate data quality, and define robust data contracts.
Implement best practices in feature engineering, data modeling, and dataset versioning to ensure reproducibility.
Partner with Asia Data office and support AI enable related strategic projects.
Own end-to-end model lifecycle: training, evaluation, optimization, deployment, monitoring, and continuous improvement.
Implement and manage production-grade CI/CD pipelines for ML and LLM-based systems using Azure, Databricks, and Kubernetes-based infrastructure.
Establish monitoring for model performance, data drift, hallucination detection, safety triggers, and operational SLOs.
Build reusable ML/LLM platform components, frameworks, and SDKs to accelerate AI development across teams.
Work closely with product owners, data scientists, and business stakeholders to translate requirements into scalable AI solutions.
Provide technical guidance on data, modeling approaches, GenAI capabilities, and operational best practices.
Codify standards, patterns, and reusable templates to improve development efficiency and ensure consistency across the AI team.
Stay current with advancements in ML, GenAI, vector databases, and cloud-native AI technologies.
Evaluate new tools and frameworks to enhance model performance, scalability, and cost efficiency.

What We're Looking For

A degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline.
6+ years of hands-on experience delivering production-grade ML systems, pipelines, and platform components.
Strong proficiency in Python, SQL, PySpark, and experience with cloud-native data/compute environments (Azure, Databricks, Spark, Delta Lake).
Experience with MLOps and LLMOps (CI/CD, model registry, deployment, monitoring, drift detection, prompt management).
Practical experience with LLMs and GenAI frameworks such as Transformers, LangChain, Azure OpenAI, vector databases, and retrieval systems.
Solid understanding of ML algorithms, data structures, distributed systems, and model optimization techniques.
Excellent communication skills to explain complex technical concepts to both technical and non‑technical audiences.
A proven track record of deploying ML/AI solutions that deliver business value.

Nice to Have

Prior experience with customer analytics, personalization, or conversational AI is a plus.

Technical Stack

Languages & Frameworks: Python, SQL, PySpark
Cloud & Compute: Azure, Databricks, Spark, Delta Lake, Kubernetes
AI/ML Tools: Transformers, LangChain, Azure OpenAI, vector databases

Team & Environment

You will join our Artificial Intelligence team, working to enable AI solutions across the organization.

Benefits & Compensation

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.

Work Mode

This role is hybrid and based in ASIA.

Manulife is an Equal Opportunity Employer committed to fair recruitment, retention, advancement and compensation 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.