Job Description AWS Sagemaker / 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 • Strong hands-on experience with AWS cloud services • Experience implementing MLOps pipelines and ML lifecycle management • Robust 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 Requirements Java

📌 AWS Sagemaker / MLOPS Engineer (Toronto)
🏢 Astra North Infoteck
📍 Toronto