Description: Senior AWS Sage

Maker / MLOps Engineer* Toronto, ON Hybrid (2 days per week in-person at Toronto office preferred) Skills: Digital : Python~Digital: Azure Machine Learning (ML)~Digital: Terraform~AI & Gen AI - Products & Tools Experience Required: 6-8 Years Role Description: We are looking for a highly experienced Senior AWS Sage

Maker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing Machine Learning solutions on AWS.

The ideal candidate should have hands-on experience with AWS Sage

Maker, Sage

Maker Feature Store, MLOps frameworks, and Python development.

The resource will be responsible for 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.

Top 3 Required Skills: AWS Sage

Maker (Model Development, Training, Deployment, Monitoring) AWS Sage

Maker Feature Store and Feature Engineering MLOps and Python Development Top 3 Preferred Skills:



AWS Bedrock / Generative AI Terraform / Cloud

Formation Kubernetes and Docker Experience Required: 8+ years of overall IT experience Solid hands-on experience with AWS cloud services Experience implementing MLOps pipelines and ML lifecycle management Strong Python development skills Hands-on experience with Sage

Maker Pipelines, Model Registry, and Feature Store Experience with CI/CD tools and cloud-native development practices Education Requirements: Bachelor's degree in Computer Science, Engineering, Information Technology, or related field AWS certifications preferred Custom Fields: Name: Type of Asset Value: None Name: Child Value: IS-BFSI-Canada-1-Group3 Name: Parent Value: IS-BFSI-Canada-1-Parent Name: Work Assignment Location Value: Hybrid Name: Business Vertical Value: CL-BFSI Americas 2 Name: Work Location CDF Value: ~Toronto 24th Floor~TCCI Canada Corporate~ Name: Assets Value: None Name: Requisition ID Value: 10994074

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