MLOps Engineer

The opportunity

Manulife is seeking a motivated and dedicated Machine Learning Engineer with a focus on MLOps architecture, tooling, and standards development. In this key role, you will be responsible for maintaining and enhancing Python libraries, lightweight applications, and CI/CD pipelines that enable our AI/ML developers to efficiently track experiments, conduct testing, streamline deployment, and monitor model health. By using AI to more efficiently deliver AI, you will collaborate with AI/ML project teams to facilitate the adoption of MLOps tools and standards, incorporating feedback to continuously refine our tooling features. You will also contribute to the development of tools and standards to operationalize LLM and Generative AI use-cases, ensuring seamless integration with existing MLOps practices and infrastructure.

Responsibilities

• CI/CD Pipeline Management: Assist in implementing and managing CI/CD pipelines to automate testing and deployment processes, ensuring efficient and reliable operations.

• Collaboration and Support: Work with AI/ML project teams across segments to help them adopt MLOps tools and standards, providing guidance and support as needed.

• Stakeholder Engagement: Capture feedback from team members to improve and enhance MLOps tools and features, ensuring they meet the evolving needs of our teams.

• Standards Development: Contribute to defining and implementing effective practices and standards for MLOps processes to ensure efficient and streamlined operations.

• Industry Insights: Stay updated with industry advancements in LLM and Generative AI models, enhancing MLOps capabilities to support LLM Ops needs.

• Cross-Functional Collaboration: Work multi-functionally with data scientists, software engineers, architects, and operations teams to ensure flawless integration and operation of MLOps and LLM Ops solutions

How will you create an impact?

Join our Global Advanced Analytics team and be a driving force in shaping the future of AI/MLOps with a focus on using AI to more efficiently deliver AI. We are dedicated to building brand-new MLOps architecture, tooling, and standards to empower our AI/ML developers. We aim to enhance operational efficiency and innovation. If you are passionate about the evolving landscape of LLM and Generative AI, we want to hear from you!

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

• Educational Background: Bachelor's, Master's, or equivalent experience in Computer Science, Data Science, Statistics, or a related field.

• MLOps Experience: 3-4 years of experience in building and maintaining MLOps infrastructure and tooling.

• Software Development: Proficiency in Python and experience with developing libraries and applications.

• CI/CD Tools: Experience with CI/CD tools and pipelines, preferably Jenkins.

• Cloud and Containerization: Familiarity with cloud platforms (preferably Azure), ML development environments (Databricks), and containerization technologies (Docker, Kubernetes).

• Experiment Tracking and Monitoring: Exposure to experiment tracking tools (e.g., MLFlow) and monitoring solutions.

• Strong communication skills, able to explain complex concepts to various collaborators.

• Understanding of ML Lifecycle: Basic understanding of the machine learning lifecycle and standard methodologies in MLOps.

• LLM/GenAI Models: Basic understanding of LLM/GenAI models and their operational requirements.

Bonus Points:

• Databricks Ecosystem Expertise: Hands-on expertise in the Databricks ecosystem, particularly model management using Unity Catalog.

• Full Stack Engineering Exposure: Ability to build proof of concepts/demos including both front-end and back-end development.

• Adaptability: Demonstrated proficiency in quickly picking up new frameworks and libraries.

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 stakeholders and has a positive social and environmental impact.

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

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$75,880.00 CAD - $140,920.00 CAD

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.