Job Description
At Equitable Life of Canada, we realize that your work life is not just about performing a job; it's about being part of a workplace that helps you grow and reach your full potential. Within our friendly and collaborative work environment, we recognize that the key to our growth and success is a dedicated, motivated and customer-responsive staff. Join Equitable Life today.
Position Title: Machine Learning Engineer
Reports To: AVP, Data and Analytics
Department: Enterprise Data and Analytics
Term: Permanent Full-Time
Work Arrangements: We are currently working remotely, and we will be moving to a hybrid model when our office renovation is complete (approximately November 2023), coming into the office a minimum of 2 days per week, every other week on designated days.
The Opportunity: Equitable Life is growing! We are looking for a Machine Learning Engineer to join our Enterprise Data and Analytics team! Now is an exciting time to join one of the Waterloo Region’s top employers for 2023!
The Machine Learning Engineer will play a pivotal role in the Data Science lifecycle of delivering machine learning (ML) based solutions, models and algorithms to improve business processes, supporting the strategy and goals of Equitable Life of Canada. The primary responsibility will be to partner with the data scientists to ensure the successful delivery of ML models which include, but are not limited to:
- Machine Learning algorithm review
- Data quality, wrangling, cleansing, visualization
- Data transformation & integration from internal and external sources
- Documentation and meta data creation
- Model deployment and monitoring
What you will be doing:
- Acquisition, preparation and staging data for ML projects
- Implementation and productionization of ML models in various data environments under guidance of Sr Machine Learning Engineer and/or Sr Data Scientist
- Own and deliver on projects of moderate scope and handle assigned tasks of more advanced scope
- Build ML algorithms in collaboration with data scientists
- Work with data scientists to monitor ongoing results of implemented models
- Maintain data environments related to ML projects under guidance of Sr Machine Learning Engineer
- Visualization of ML project results
- Implement measurement and documentation framework against all project work
- Contribute to discussion related to analytics methodology, tools, and measurement
- Innovate and find creative ways to source data to support modeling efforts
- Peer review other team members work
What you will bring:
- An advanced degree in computer science, data science, data analytics, statistics, applied mathematics, or a related quantitative field is required
- Specialization in ML, AI, cognitive science or data science is required
- Minimum of 2 years of experience specifically in data management roles or data science teams
- Proficient in building Machine Learning Models
- Expert in Python and ML libraries
- Usage in ML and installation in MS and Linux environments
- Expert in data management and working with ETL tools
- Proficient in MS SQL, Java, VBA
- Experience in API development
- Experience working in Microsoft Azure and Amazon AWS an asset
- Experience working in Microsoft Windows Server and Linux environments
- Financial Services experience an asset
- Good business communication skills with non-data focused business partners
What’s in it for you:
- A healthy work-life balance with employee wellness top of mind
- Annual bonus program, annual vacation allowance, and company-paid benefits program
- An additional paid volunteer day each year so you can spend time giving back to the community
- Immediate enrollment in the company’s pension program with employer matching
- Employee resource groups that support an inclusive work environment
- Tuition support and specialized program assistance
- A company subsidized cafeteria with a variety of daily options
- Discounts on company products and services, and access to exclusive employee perks
- Regular EQ Together events focused on company togetherness and collaboration
As part of the recruitment/offer process you will be required to:
- Provide two professional references (minimum one supervisor and above)
- Undergo a criminal background check
To learn more about Equitable Life, we encourage you to explore our organization.
At Equitable Life, we are committed to providing equal access to employment opportunities across our organization. Please contact our HR team at careers@equitable.ca if you would like to receive our job postings in an alternative format or require an accommodation with the application process.
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