Definity logo

Machine Learning Engineering Professional

Definity
Department:Software Development
Type:HYBRID
Region:Ottawa, Ontario
Location:Ottawa, Ontario, Canada
Experience:Mid-Senior level
Salary:CAD80,700 - CAD163,300
Skills:
MACHINE LEARNINGCLOUD-NATIVE TECHNOLOGIESDOCKERKUBERNETESCI/CDGOOGLE CLOUD PLATFORMMODEL DEPLOYMENTMODEL SERVINGMODEL MONITORING
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Job Description

Posted on: July 13, 2025

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:

  • 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.

What you’ll bring:

  • 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.

Salary Range: $80,700 - $163,300 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

Actual salary for the role may vary depending on work location of the successful candidate and other factors including but not limited to, skills, education, experience, working conditions and the local labour market.  In addition to base pay, 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. 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).

Originally posted on LinkedIn

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