Lead Machine Learning Engineer, Advanced Analytics, GWAM Asia
Hong Kong, Manulife Tower
Applications have closed
Manulife
Manulife is a leading financial services group. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions.The Opportunity
Reporting to the Regional Head of Advanced Analytics, the Lead Machine Learning Engineer will take a leading role in building the AI / ML powered advanced analytics Applications and managing of the AI / Data platform environment to enable Wealth and Asset Management Asia in developing world class, robust, revenue generating, analytics driven marketing strategies and customer management program.
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 mindset 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
We are looking for someone with:
- An advanced degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or another quantitative field, complemented by significant professional experience.
- Proven expertise in developing and scaling Generative AI solutions, along with a track record of solving complex business challenges through data science, with at least 8 years of experience in these areas.
- Proficiency in data pipeline and machine learning production architecture especially with Azure services, with advanced skills in programming languages such as Python, R, and SQL and relevant prompt engineering packages like LangChain, LangGraph, AutoGen, Llamaindex as well as a deep understanding of agile solution development principles.
- Hands-on experience with data frameworks and cloud platforms such as Azure, Databricks, and Spark, demonstrating a focus on Generative AI solution implementation and scaling.
- Outstanding communication skills, including the ability to effectively communicate complex data science concepts to technical and non-technical stakeholders, particularly within the context of RAG chatbot development.
- A solid track record of successfully deploying Generative AI solutions into production, delivering measurable business value.
- Previous experience in the investment and insurance business, with a specific emphasis on Generative AI tech patterns and architecture using Azure and OpenAI services, is highly desirable.
- Demonstrated experience in teamwork, showcasing the ability to lead and mentor a team of data scientists and collaborate effectively with cross-functional teams.
- A team player with the ability to successfully manage interaction with internal clients and work independently and within a team environment with professionalism and collaboration
- Experience working in the regional team would be an advantage
On the job you will:
- Lead the development of AI/ML powered advanced analytics applications with high impact use cases on sales growth, business profitability, client retention and customer satisfaction.
- Manage the AI/ Data platform environment and continuously facilitate onboarding of additional machine learning models and data sources and simplify architecture by using appropriate engineering methods.
- Develop and implement AI/ ML models to tackle complex business challenges, utilizing a diverse range of algorithms and techniques, with a primary emphasis on AI tech patterns like RAG and multi-agent approach.
- Drive the adoption of insights from Generative AI solutions by influencing and collaborating with key stakeholders across the organization.
- Manage the data operations and data delivery for marketing and customer value management programs, as well as automate processes and tasks across systems and sources.
- Support the operationalization of the propensity models developed for campaign execution.
- Stay abreast of industry trends and advancements in AI/ML, with a dedicated focus on Generative AI tech patterns and architecture, to continuously enhance our Generative AI capabilities.
Our commitment to you
- Our mission; to be a part of making Decisions Easier and Lives Better
- A leadership team dedicated to your growth and success
- A bold ambition and set of goals to be a leader in driving transformation in our industry
- Our best. Every day.
Learn more about opportunities with us at www.manulife.com/en/careers/why-join-us.html
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 recruitment@manulife.com.
Working Arrangement
Hybrid* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Azure Chatbots Computer Science Databricks DataOps Engineering Generative AI LangChain Machine Learning Mathematics ML models OpenAI Prompt engineering Python R RAG Spark SQL Statistics
Perks/benefits: Career development Insurance
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