Machine Learning Engineering Professional - #443713
Definity
Date: 2 days ago
City: Waterloo, ON
Contract type: Full time

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.
What you’ll do:
Interested in this role, but don't meet every requirement? We encourage you to apply! We know from experience that a candidate doesn't need 100% of the qualifications listed to bring incredible value to our team. We're actively seeking diverse backgrounds and perspectives to help us make insurance better. At Definity, inclusion, diversity, and equity aren't just "nice to have" — they're essential to our success.
What's in it for you?
Go ahead and expect a lot — you deserve it.
It's better here — but don't take our word for it. Definity was named by Great Place to Work as one of the Best Workplaces in Canada for women, for youth, and for inclusion.
Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting [email protected].
Background checks
This role requires successful clearance of background checks (including criminal checks and leadership references).
What you’ll do:
- 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.
- 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.
- Experience with Google Cloud Platform (GCP) is an asset.
Interested in this role, but don't meet every requirement? We encourage you to apply! We know from experience that a candidate doesn't need 100% of the qualifications listed to bring incredible value to our team. We're actively seeking diverse backgrounds and perspectives to help us make insurance better. At Definity, inclusion, diversity, and equity aren't just "nice to have" — they're essential to our success.
What's in it for you?
- Hybrid work schedule for most roles
- Company share ownership program
- 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
Go ahead and expect a lot — you deserve it.
It's better here — but don't take our word for it. Definity was named by Great Place to Work as one of the Best Workplaces in Canada for women, for youth, and for inclusion.
Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting [email protected].
Background checks
This role requires successful clearance of background checks (including criminal checks and leadership references).
How to apply
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