Job DescriptionJob DescriptionJob Title:

Senior AWS SageMaker / MLOps Engineer

Location:

Toronto, ON

Duration:

06-12 Months

Hourly Pay Rate:

Competitive and commensurate with experience

Job Description:

We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with a strong expertise in building, deploying, and operationalizing Machine Learning solutions on AWS. This role requires working in a hybrid mode, with 2 days per week in-person at our Toronto office preferred.

Required Skills & Qualifications (Must-have qualifications that candidates must meet to be considered):

- 8 years of overall IT experience
- Strong 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

Preferred Skills & Qualifications (Nice-to-have skills but are not required):
- AWS Bedrock / Generative AI
- Terraform / CloudFormation
- Kubernetes and Docker

Day-to-Day Responsibilities (key tasks and expectations for the role):
- Designing and implementing end-to-end ML pipelines
- Feature management strategies
- Model deployment automation, monitoring, and CI/CD integration for enterprise-scale machine learning platforms

For immediate consideration please click APPLY to begin the screening process with Alex.

📌 Information Technology_CAN - CAN_Engineer (Toronto)
🏢 Artech
📍 Toronto