The Opportunity

We are seeking a motivated Senior Machine Learning Engineer to join our Global Advanced Customer Analytics team at Manulife/John Hancock. As part of our Customer Experience (CX), Contact Center, Digital & Personalization initiatives, you will be responsible for developing and implementing robust analytical solutions to identify actionable insights using multi signal datasets enabling us to enhance our products and services to meet business needs effectively as per roadmap.

Responsibilities

•  Develop feature engineering components to source and acquire structured and unstructured data to support modeling efforts. Strong emphasis on data modeling techniques during feature engineering and system design
• Collaborate with Data Engineers and IT Domain Experts to understand source data and formulate hypotheses and insights prior to model design , using multi signal data sources.
• Develop and deploy machine learning models, to solve business problems using variety of algorithms and techniques like LLM , Generative AI & RAG;  using Azure and Databricks platforms
• Work closely with partners to gather requirements and implement solutions that meet their needs
• Embrace best practices, processes related to MLOps , Coding standard methodologies for the broader data science and engineering teams.
• Experience in optimizing model accuracy and runtime performance using 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, Prompt engineering, Cloud and related 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 solving high-impact business problems using Machine learning & Data science
• Proven experience as a Data/ML Engineer, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications.
• Hands-on experience with Azure tech stack, including Azure cognitive search, Langchain, Vector stores. Experience in Azure OpenAI and open-source models like Llama, is a bonus
• Strong partner management, ability to translate sophisticated technical topics into business language, presentation skills, and an ability to balance a sense of urgency with shipping high-quality and pragmatic solutions.
• Strong software development skills with proficiency in Python and advanced working SQL knowledge, preferably using the Azure stack and experience with Azure ML, Databricks, Azure Data Factory.
• Experience in productionizing code through the DevOps pipeline (git, Jenkins pipeline, code scan).
• Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.

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 recruitment@manulife.com.

Primary Location

Working Arrangement

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.