Associate ML Engineer

The Associate ML Engineer at Manulife will play a vital role in developing analytics-enabled solutions within cross-functional project teams. This role involves managing assigned tasks, collaborating with senior team members to identify and access data sources, and documenting data using standard templates. The engineer will create tables and databases for data science projects under senior guidance, assist in coding solutions into production systems, and acquire data to measure solution effectiveness. The role requires using data querying tools to extract, transform, and stage data, analyzing datasets of moderate complexity, and communicating analytics to senior team members. The ideal candidate is curious, eager to learn, and committed to their career development, actively seeking coaching and incorporating feedback.

Position Responsibilities: 

• Manage data science infrastructure to streamline model development and deployment
• Architecting, developing, optimizing and owning the deployment of ML functionalities into production systems
• Design and evaluate new approaches for handling high-volume real-time data streams in an inferencing environment
• Defining best practices for code, APIs, and frameworks that will lay the foundation for MLOps capabilities
• Working closely with Infrastructure architects to design scalable and cost-effective solutions
• Following Software Deployment and QA processes and MLOps best practices
• Develop measurements and feedback systems
• Mentor associates and peers on DevOps/MLOps best practice

Required Qualifications:

• Bachelor’s degree in Math, Computer Science, Engineering; or equivalent work experience
• Basic Working knowledge of programming languages and concepts (e.g. Java, C, SAS, SPSS, R, or Python)
• Basic knowledge of data visualization tools such as Tableau, QlikView, PowerBI Basic knowledge of data transformation to support BI Reporting

Preferred Qualifications:

• Basic knowledge of common database querying languages such as SQL.
• Capability of applying a systematic, structured approach to explore / navigate / mine massive amount of data, structured or un-structured, to uncover hidden patterns / insights.
• Some working knowledge of relational database models (e.g. data vaulting techniques, rules tables).
• Basic knowledge in distributed computing - Hadoop/ NoSQL/unstructured data
• Basic understanding of different techniques and knowledge of machine learning algorithms.
• Basic knowledge of AI toolkits. Familiarity with basic statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques (regression, cluster / factor / principle components, decision tree, survival analysis, etc.)

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. 

#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.

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$60,900.00 CAD - $113,100.00 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.