Manulife is a leading international financial services provider dedicated to helping people make their decisions easier and lives better. The Associate ML Engineer will develop analytics-enabled solutions within cross-functional teams, managing tasks and collaborating to create data science projects while utilizing data querying tools and communicating analytics effectively.
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
Qualification
Required
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
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.)
Benefit
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
Various retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
Financial education and counseling resources
Generous paid time off program in Canada includes holidays, vacation, personal, and sick days
Full range of statutory leaves of absence
Manulife is a leading international financial services group that helps people make their decisions easier and lives better.
