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Lead Machine Learning Engineer, Advanced Analytics, GWAM Asia

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Job ref no.: JR24090636
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Lead Machine Learning Engineer, Advanced Analytics, GWAM Asia

Manulife (International) Limited
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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 ;

關於宏利和恒康

宏利金融公司是一家業界領先的國際金融服務集團,致力於幫助人們實現「輕鬆智選,精彩人生」。我們的全球總部位於加拿大多倫多;在亞洲、加拿大和歐洲以「宏利」之名營運,在美國主要以「恒康」之名營運。我們為個人、團體和機構提供財務諮詢、保險以及財富和資產管理解決方案。截至 2022 年底,我們擁有超過 40,000 名員工、超過 11.6 萬名代理人,及數以千計的經銷夥伴,為超過 3400 多萬名客戶提供服務。截至 2022 年底,我們管理的資產規模達 1.3 兆加元(1.0 兆美元),其中投資資產總額為 0.4 兆加元(0.3 兆美元),獨立基金淨資產為 0.3 兆加元(0.3 兆美元)。我們在多倫多、紐約和菲律賓的證券交易所以「MFC」名稱進行交易,在香港證券代碼為「945」。

宏利為重視就業機會平等之雇主

在宏利/恒康,我們擁抱多元。我們致力吸引、發展並留住多元化的員工隊伍,正如我們所服務的客戶一樣多元化,並打造包容的工作環境,在充分發揮文化優勢的同時尊重個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度,我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、国籍、宗教或宗教信仰、信仰、性別(包括懷孕及其相關情況)、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。

我們的首要任務是消除障礙,為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。  申請人要求提供協助所分享的信息將會按照適用法律及宏利政策儲存及使用。  應徵過程中如需協助,請聯絡[via CTgoodjobs Apply Now]  

More Information

Job ref no.JR24090636
SalaryN/A (Search your salary info in SalaryCheck)
Job Function
Work Model
  • On-site / At the workplace
Industry
Employment Term
  • Full-time
Experience
  • N/A
Career Level
  • Non-management level
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Overview

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