Job Description 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 can you expect in this role? 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 do you bring to the role? 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: $94,800-$158,000 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. 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. 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 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 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 This role requires successful clearance of background checks (including criminal checks and leadership references). #J-18808-Ljbffr