Machine Learning Engineering Professional

Definity Insurance Company • Waterloo, ON

2d • Hybrid

About The Position

As a Machine Learning Engineering Professional within the Advanced Analytics team, you will play a key role in building, deploying and maintaining ML products that enhance our customer experience and drive measurable business value. We understand that ongoing monitoring and maintenance are crucial for sustained impact, and you'll play a vital role in ensuring we sustain the value of our products to the organization and to our customers.

Requirements

• University degree in Software Engineering, Computer Science, Data Science or a related discipline.
• 4+ years of industry experience in building and productionizing ML pipelines with cloud-native technologies such as Docker, Kubernetes and serverless alternatives. Includes leveraging continuous integration and continuous delivery (CI/CD) workflows.
• Strong understanding of ML best practices for model deployment, serving, and monitoring.
• Strong communicator, both to business and technical audiences.

Nice To Haves

• Experience with Google Cloud Platform (GCP) is an asset.

Responsibilities

• Leverage your strong technical expertise to operationalize ML products (batch or real-time) in collaboration with Data Scientists within our team, our business stakeholders and other technical teams, ensuring seamless integration into production environments.
• Develop and deploy code using cloud-native technologies, considering performance, maintainability and testability.
• Champion ML best practices throughout the ML lifecycle, including model serving and monitoring.
• Bring new ideas to contribute to innovation and process improvement.

Benefits

• Hybrid work schedule for most roles
• Company share ownership program
• Incentive Program - Eligible employees may participate in various incentive plans which are paid out at the discretion of the company and subject to individual and company performance.
• Pension and savings programs, with company-matched RRSP contributions
• Paid volunteer days and company matching on charitable donations
• Educational resources, tuition assistance, and paid time off to study for exams
• Focus on inclusion with employee groups, support for gender affirmation surgery, access to BIPOC counsellors, access to programs for working parents
• Wellness and recognition programs
• Discounts on products and services

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree