Job Information
Manulife Senior Manager, Machine Learning Engineer, Asia in Hong Kong, Hong Kong
We are seeking a highly skilled Senior Machine Learning Engineer to join our Artificial Intelligence team. In this role, you will drive the design, development, and operation of AI/ML and GenAI platforms, data pipelines, and production-grade model services that power our multiple AI use cases across ASIA as part of AI enablement.
Position Responsibilities:
AI/ML Engineering & Data Pipelines
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
Model Development, Deployment & Operations (MLOps/LLMOps)
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.
Collaboration & Solution Delivery
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.
Continuous Learning & Innovation
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.
Required Qualifications:
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.
Prior experience with customer analytics, personalization, or conversational AI is a plus.
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.
Acerca de Manulife y John Hancock
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Modalidades de Trabajo
Híbrido