Machine Learning Engineer, Asia (Global Marketing AI)

Reposted 24 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Fintech • Insurance • Financial Services
The Role
As a Machine Learning Engineer, you will develop AI solutions to enhance marketing and sales through collaboration with teams, deploying ML models, and optimizing AI systems.
Summary Generated by Built In

The Opportunity

The Manulife/John Hancock AI Team is seeking a highly skilled and motivated Machine Learning Engineer with a strong focus on developing end-to-end AI models and solutions to accelerate and optimize sales and marketing efforts. In this role, you will collaborate closely with Data Scientists, BI Specialists, Sales and Marketing Leaders, and IT partners to execute AI and Advanced Analytics initiatives that will shape the future of our business.  The team implements a wide range of traditional ML models as well as cutting-edge LLM/Agentic approaches.  As an Machine Learning Engineer, you will lead the development and deployment of innovative approaches to optimize existing and new AI systems, unlocking their full potential to drive maximum business value. 

Position Responsibilities:

  • Partner with architects and technical leaders to design high-performing GenAI applications aligned with business objectives.
  • Develop AI models and applications on cloud platforms like Azure Databricks and AKS, ensuring seamless integration, scalability, and cost-effectiveness.
  • Build scripts, automation, and analytical tools that accelerate data engineering and model deployment activities.
  • Deploy machine learning and GenAI models into production environments, ensuring interoperability with systems, APIs, and data sources.
  • Continuously monitor and improve the performance of AI models through data analysis and testing
  • Stay up to date with the latest advancements in AI technologies and methodologies, and evaluate their potential applications to improve our AI engineering processes.

Required Qualifications:

  • Minimum Bachelor's degree in Computer Science, Engineering, Mathematics, or related field with 3 years of applicable experience in AI / Data Science, or a combination of education and experience  
  • Hands on experience with Azure cloud tools, such as Databricks, AI Foundry, AI Search, Kubernetes
  • Strong background with Python and SQL, experience using both for data analysis and orchestration. 
  • Experience in applying analytics and AI tools in Marketing and Sales functions. Insurance industry experience is a plus.
  • Strong business acumen and ability to understand stakeholders’ needs
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills

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.

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 [email protected].

Working Arrangement

Hybrid

Skills Required

  • Minimum Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
  • 3 years of applicable experience in AI / Data Science
  • Hands on experience with Azure cloud tools
  • Strong background with Python and SQL
  • Experience in applying analytics and AI tools in Marketing and Sales functions
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills

Manulife Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Manulife and has not been reviewed or approved by Manulife.

  • Healthcare Strength Healthcare coverage is portrayed as comprehensive, spanning medical, dental, prescription drugs, vision, critical illness, and short- and long-term disability. Mental-health support is emphasized via EAP-style services and high annual coverage limits in some regions, alongside wellness programs and navigation tools.
  • Retirement Support Retirement offerings are positioned as a meaningful part of total rewards, including group RRSP/defined contribution pension options and employer matching in some cases. Ownership-related programs such as share purchase/stock options are also described as available for eligible employees.
  • Flexible Benefits Benefits are described as robust and flexible, with customizable packages and spending-account style options in some plans. Digital tools (mobile app/claims) and reward-linked wellness programs are framed as making benefits easier to use and more engaging.

Manulife Insights

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The Company
HQ: Toronto, Ontario
32,427 Employees
Year Founded: 1887

What We Do

Manulife is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We have more than 40,000 employees, over 116,000 agents serving ~34 million customers worldwide, and over $1.3 trillion in assets under management and administration. Visit www.Manulife.com to find out more. For Manulife terms of use, please visit http://bit.ly/SM_Terms

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