AWS Sagemaker / MLOPS Engineer
Full-time
Astra North Infoteck Inc.
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 SageMaker / 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 SageMaker, SageMaker 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 SageMaker (Model Development, Training, Deployment, Monitoring)
• AWS SageMaker Feature Store and Feature Engineering
• MLOps and Python Development
Top 3 Preferred Skills:
• AWS Bedrock / Generative AI
• Terraform / CloudFormation
• 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 SageMaker 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
Vacancy posted a month ago
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