Machine Learning Engineer

The Opportunity

The Machine Learning Engineers will be a part of the Group Advanced Analytics team and will be tasked with packaging models, automating workflow, and operationalizing analytics solutions to generate business value to various parts of the JH/Manulife. The ideal candidate must be a sophisticated programmer with a good understanding of Data Science, Data Engineering, application development, software engineering, and DevOps.

Responsibilities

• Collaborate with Data Scientists and Data Engineers to design and implement scalable and efficient machine learning pipelines.
• Evaluate and optimize machine learning models for performance and scalability.
• Deploy machine learning models into production and monitor their performance.
• Handle data science infrastructure to streamline model development and deployment.
• Proposing appropriate tools (languages/libraries/frameworks) for implementing projects.
• Working closely with infrastructure architects to craft scalable and efficient solutions.
• Work closely with multi-functional teams to integrate machine learning models into existing systems and processes.
• Stay up-to-date with the latest advancements in ML & AI.
• Mentor associates and peers on MLOps standard practices.

How will you create impact?

The MLEs work as part of a central team, supporting other Data Science teams within the Group Advanced Analytics with all new development and deployments. MLEs are responsible for infrastructure and deployment support, operationalization and MLOps, and establishing standardize standard methodologies across the teams

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

• Hands-on experience with large-scale systems in software engineering.
• Experience in operationalizing code through DevOps pipeline (git, Jenkins pipeline, code scan).
• Familiarity with big data processing and building data APIs. Experience with automated data quality frameworks is a plus.
• Working experience in building and deploying machine learning models as REST-based API using Flask, Elasticsearch, etc.
• Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn.
• Advanced working SQL knowledge and experience working with relational databases and SQL.
• Experience in infrastructure, including Cloud Computing, Linux OS, Networks, Docker, Kubernetes, RDBMS and NoSQL Databases.
• Experience working with cloud native architecture (PaaS) using Azure stack preferably and experience with Azure ML, DataBricks (Spark), Azure Data Factory will be an asset.
• Experience in building ETL pipelines to perform feature engineering on large-scale dataset using Spark.
• Experience with Large Language Models (LLMs) such as GPT-3 or BERT.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Expertise in delivering analytics & machine learning products, with a deep understanding of agile product delivery in an enterprise environment.

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 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

$74,270.00 CAD - $137,930.00 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.