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AWS Sagemaker MLOPS Engineer


Job Location:

Toronto - Canada

Monthly Salary: K 10 - 10
Experience Required: 5years
Posted: 9 October 2026 (Yesterday)
Application Deadline: 6 January 2027
Vacancies: 1 Vacancy

Job Summary

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: 68 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:


Bachelors degree in Computer Science Engineering Information Technology or related field
AWS certifications preferred





Required Skills:

Java