AWS Sagemaker / MLOPS Engineer

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
• 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