
Definity
Machine Learning Engineering Professional
Join to apply for the
Machine Learning Engineering Professional
role at
Definity
Machine Learning Engineering Professional
Join to apply for the
Machine Learning Engineering Professional
role at
Definity
Get AI-powered advice on this job and more exclusive features.
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).
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Insurance
Referrals increase your chances of interviewing at Definity by 2x
Toronto, Ontario, Canada CA$150,000.00-CA$400,000.00 2 weeks ago
Applied Machine Learning Scientist (Early Career)
Toronto, Ontario, Canada CA$108,900.00-CA$157,300.00 14 hours ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr