We are a leading financial services provider committed to making decisions easier and lives better for our customers and colleagues around the world. From our environmental initiatives to our community investments, we lead with values throughout our business. To help us stand out, we help you step up, because when colleagues are healthy, respected and meaningfully challenged, we all thrive. Discover how you can grow your career, make impact and drive real change with our Winning Team today. 

Working Arrangement

Job Description

The Opportunity

 We are excited to welcome a passionate Machine Learning Engineer to join our Global Advanced Customer Analytics team at Manulife/John Hancock! In this role, you will be instrumental in using customer data to enhance our products and services and deliver exceptional customer experiences on a global scale.

Responsibilities

•  Develop feature engineering components to acquire structured and unstructured data, with a strong emphasis on data modeling techniques during feature engineering and system design.
• Collaborate with Data Engineers and IT Domain Experts to understand source data, formulate hypotheses, and gain insights prior to designing models, using multi-signal data sources.
• Develop and deploy machine learning models, using algorithms and techniques such as LLM and Generative AI, using Azure and Databricks platforms.
• Work closely with partners to gather requirements and implement solutions tailored to meet their needs.
• Embrace standard methodologies and processes related to MLOps and codify standard methodologies for the broader data science and engineering teams.
• Apply experience in optimizing model accuracy and runtime performance, employing techniques such as model compression and parallelization.
• Mentor and provide guidance to junior team members, fostering a culture of continuous learning and improvement.
• Stay up to date with industry trends and advancements in Machine Learning, Generative AI, and Cloud technologies.

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 approach 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.

What we are looking for

• An advanced degree in Machine Learning, Data Science, Computer Science, Engineering, or Statistics.
• Minimum of 5 years of experience applying Machine Learning and Data Science to solve high-impact business problems.
• Proven experience as a Data/ML Engineer, with a strong emphasis on machine learning, generative AI, and applications of technology.
• Hands-on experience with Azure tech stack, including Azure cognitive search, Langchain, Vector stores.
• Strong partner management skills, with the ability to effectively translate sophisticated technical topics into business language, exceptional presentation skills, and the capability to balance a sense of urgency with delivering high-quality and pragmatic solutions.
• Strong software development skills with proficiency in Python and advanced working knowledge of SQL, preferably using the Azure stack, and experience with Azure ML, Databricks, and Azure Data Factory.
• Experience in productionizing code through the DevOps pipeline.
• Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.

What can we offer you?

• A competitive salary and benefits packages.
• A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
• A focus on growing your career path with us.
• Flexible work policies and strong work-life balance.
• Professional development and leadership opportunities.

Our commitment to you

• Values-first culture: We lead with our Values every day and bring them to life together.
• Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
• Continuous innovation: We invite you to help redefine the future of financial services.
• Delivering the promise of Diversity, Equity and Inclusion:  We foster an inclusive workplace where everyone thrives.
• Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.

#LI-Hybrid

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Asia, Canada, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2022, we had more than 40,000 employees, over 116,000 agents, and thousands of distribution partners, serving over 34 million customers. At the end of 2022, we had $1.3 trillion (US$1.0 trillion) in assets under management and administration, including total invested assets of $0.4 trillion (US $0.3 trillion), and segregated funds net assets of $0.3 trillion (US$0.3 trillion). We trade as ‘MFC’ on the Toronto, New York, and the Philippine stock exchanges, and under ‘945’ in Hong Kong.

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.

Salary & Benefits

The annual base salary for this role is listed below.

Primary Location

Salary range is expected to be between

If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact recruitment@manulife.com for more information about U.S.-specific paid time off provisions.