Job Description
Role Overview
As a Machine Learning Engineering Professional within the Advanced Analytics team, you will play a vital role in building, deploying, and maintaining ML products that enhance customer experience and deliver measurable business value. Ongoing monitoring and maintenance are essential to sustain the impact of these products.
Key Responsibilities
- Leverage technical expertise to operationalize ML products (batch or real-time) in collaboration with Data Scientists, business stakeholders, and technical teams.
- Ensure seamless integration of ML products into production environments.
- Develop and deploy code using cloud-native technologies like Docker, Kubernetes, and serverless solutions.
- Champion ML lifecycle best practices, including model serving and monitoring.
- Contribute to innovation and process improvements.
Qualifications
- University degree in Software Engineering, Computer Science, Data Science, or related field.
- 4+ years of experience in building and deploying ML pipelines using cloud-native tools.
- Experience with CI/CD workflows.
- Strong understanding of ML best practices for deployment, serving, and monitoring.
- Excellent communication skills with technical and business audiences.
- Experience with Google Cloud Platform (GCP) is a plus.
Compensation and Benefits
- Salary Range: $80,700 - $163,300
- Hybrid work schedule
- Company share ownership
- Pension and savings programs with RRSP matching
- Volunteer days and charitable donation matching
- Educational resources, tuition support, and exam leave
- Support programs for diversity, inclusion, and accessibility
- Wellness and recognition programs
- Discounts on products and services
Additional Notes
- Actual salary may vary based on location, skills, and experience.
- Eligibility for incentive plans based on performance.
- Noted as a Great Place to Work® in Canada.
- Inclusive environment with accommodations available.
- Background checks are required.
Contact
For accommodations during recruitment, contact: [email protected]
Background Checks
This role requires successful clearance of criminal background checks and leadership references.
Job Highlights
(Details provided below in the 'Job Highlights' section)