Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You’ve come to the right place. We’re looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we’d like to hear from you.
Calling on a Machine Learning Engineer who can seamlessly combine tech know-how with business acumen to go from a promising ML experiment to a shipped product, with real-world impact.
You will join the Canadian Advanced Analytics team to focus on delivering machine learning models into production and accelerate the development of ML solutions across Canada Segment. You will enable data scientists to translate models they create into optimized full-fledged AI/ML products and improve the maintainability of models by providing a common set of infrastructure and monitoring capabilities (MLOps).
Not only are you experienced in ML tech stack, but you have a firm grasp of Azure PaaS technologies, platforms and applications, and have intimate knowledge of how best to customize these for our business, to help us become more efficient. A true greenfield opportunity, you will join the team as we embark on cloud native architecture.
Build end-to-end machine learning solutions to solve complex customer problems
Manage data science infrastructure to streamline model development and deployment
Working in collaboration with customers across Canadian business to plan, scope, implement and sustain predictive analytics solutions
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
Proposing appropriate tools (languages/libraries/frameworks) for implementing projects
Working closely with Infrastructure architects to design scalable and cost-effective solutions
Perform ETL to build model features
Following Software Deployment and QA processes and MLOps best practices
Develop measurements and feedback systems
Mentor associates and peers on DevOps/MLOps best practices
At least 3 years of hands-on experience with large-scale systems in data science / software engineering
Strong software development skills (+3 years working experience) with proficiency in Python
Advanced working SQL knowledge and experience working with relational databases and SQL
Minimum 1 year of experience in productionizing code through DevOps pipeline (git, Jenkins pipeline, code scan) the last 3 years
Experience in infrastructure, including Cloud Computing, Linux OS, Networks, Docker, RDBMS and NoSQL Databases
Experience working with cloud native architecture (PaaS) using Azure stack preferably and experience with Azure ML, DataBricks, Azure Data Factory will be an asset.
Experience with Infrastructure as code (Terraform/ARM) desirable but not mandatory
Working experience in building and deploying machine learning models as REST-based API using Flask, Elasticsearch, GraphQL, etc
Experience in building ETL pipelines to perform feature engineering on large-scale dataset using Spark
An ability to balance a sense of urgency with shipping high quality and pragmatic solutions
Experience with user interface design (UX, PowerBI, node.js) and iterative customer-driven design processes would be an asset.
Every career at Manulife/John Hancock provides the opportunity to learn new skills and move your career forward. Ready to make an impact somewhere? What are you waiting for? Apply today.
About John Hancock and Manulife
John Hancock is a unit of Manulife Financial Corporation, a leading international financial services group that helps people make their decisions easier and lives better. We operate primarily as John Hancock in the United States, and Manulife globally, including Canada, Asia and Europe. We provide financial advice, insurance and wealth and asset management solutions for individuals, groups and institutions. Assets under management and administration by Manulife and its subsidiaries were CAD$1.3 trillion (US$1.1 trillion) as of June 30, 2021. Manulife Financial Corporation trades as MFC on the TSX, NYSE, and PSE, and under 945 on the SEHK. Manulife can be found at manulife.com .
One of the largest life insurers in the United States, John Hancock supports more than 10 million Americans with a broad range of financial products, including life insurance , annuities , investments , 401(k) plans , and education savings plans . Additional information about John Hancock may be found at johnhancock.com .
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 firstname.lastname@example.org .