Job Title: Senior AWS Sage

Maker / 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 Sage

Maker / MLOps Engineer with a strong expertise in building, deploying, and operationalizing Machine Learning solutions on AWS.

This role requires working in a hybrid model, 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 Robust 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 Preferred Skills & Qualifications (Nice-to-have skills but are not required): AWS Bedrock / Generative AI Terraform / Cloud

Formation 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