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

As a Lead ML Engineer focusing on MLOps and LLMOps at Manulife, you will be at the heart of a data-driven culture! You will serve as the product owner for Manulife's MLOps framework, standards, and guidelines, maintaining the central GitHub MLOps repository, and fostering a community around it.

You'll spearhead the global MLOps rollout in Azure platform by collaborating with AI/ML teams and partners across the organization. You'll foster the global adoption of MLOps practices by working closely with Lead Data Scientists, Lead ML Engineers, and Architects.

You'll also own the global rollout of Continuous Monitoring capabilities, working closely with cloud and 3rd party vendors ensuring reliability and scalability, and maintaining comprehensive documentation of MLOps processes and procedures!

You will streamline the AI ML model deployment and monitoring efficiency by developing MLOps strategies, best practices, and standards. You'll be responsible for the design, deployment, and management of scalable and reliable infrastructure for model training and deployment.

Responsibilities

• Serve as the product owner for Manulife's MLOps framework, standards, and guidelines, which includes maintaining the central GitHub MLOps repository and fostering a community around it.
• Lead the global MLOps rollout in the Azure platform by collaborating with AI/ML teams and partners across the organization.
• Foster the global adoption of MLOps practices by working closely with Lead Data Scientists, Lead ML Engineers, and Architects.
• Oversee the global rollout of Continuous Monitoring capabilities, collaborating closely with cloud and 3rd party vendors to ensure reliability and scalability.
• Maintain comprehensive documentation of MLOps processes and procedures to ensure transparency and efficiency.
• Develop MLOps strategies, best practices, and standards to streamline the AI ML model deployment and monitoring efficiency.
• Oversee the design, deployment, and management of scalable and reliable infrastructure for model training and deployment.
• Build and lead a strong MLOps team, nurturing a culture of excellence, and encouraging professional growth and development across the organization.
• Stay updated with higher-level trends in LLMs and open-source platforms to incorporate the latest technology and tools into the framework.
• Build and maintain a centralized code base or framework used by multiple teams.
• Work with infrastructure as code like Terraform to manage and provision the technology stack for an application through code, improving overall efficiency and reducing human error.

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

Minimum Qualifications:

• 7+ years of combined experience as an ML engineer, DevOps engineer, system architect or lead data scientist in Big Data ecosystems or similar distributed or public cloud platforms.
• 2-3 years of hands-on experience with MLOps, particularly Databricks and MLFlow in Azure stack, Jenkins, Kubernetes, Docker.
• Experience in deploying ML models either via native infrastructure (such as Azure DevOps etc.) or 3rd party MLOps platforms.
• Proficiency with SQL, Python, PySpark for model development and ML Ops.
• Proven leadership and coaching skills to develop individuals and teams.
• Experience in data science, statistics, software engineering, modular design, and design thinking.

Preferred Qualifications:

• Experience with LLMs (extractive and generative), fine-tuning, and operationalizing LLM pipelines.
• Familiarity with higher-level trends in LLMs and open-source platforms.
• Experience in building and maintaining a centralized code base or framework used by multiple teams will be a plus.
• Experience with infrastructure as code like Terraform.
• Excellent communication and presentation skills in English, both verbal and written.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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.