Job Title: Senior AWS SageMaker / MLOps Engineer

Location: Toronto, ON

Work Arrangement: Hybrid-2 days/ week

Employment Type: Contract

Pay Rate: CAD 50-53/Hour

Domain: BFSI

Application Deadline: Oct. 30th 2026

Skills

- 7+ years of overall IT experience
- Should have 2-3 years of experience on AWS SageMaker (Model Development, Training, Deployment, Monitoring), AWS SageMaker Feature Store and Feature Engineering.
- Robust hands-on experience with AWS cloud services
- Experience implementing MLOps pipelines and ML lifecycle management
- Strong Python development skills
- Hands-on experience with SageMaker Pipelines, Model Registry, and Feature Store
- Experience with CI/CD tools and cloud-native development practices
- Nice to have exp. with AWS Bedrock / Generative AI/ Terraform / CloudFormation/ Kubernetes/ Docker

EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

📌 AWS SageMaker Engineer (Toronto)
🏢 Pacer Group
📍 Toronto