Closed listing
Senior AWS SageMaker Engineer
- Toronto, ON, Canada
$50 to $55 CAD / hour · Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $50 to $55 CAD / hour
- Job type
- Contract
- Closing date
- Experience
- 8+ years of overall IT experience
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Pay Range: CAD 50-55/hr
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
More about this job
Responsibilities
Develop, train, deploy, and monitor machine learning models using AWS SageMaker. Implement MLOps pipelines and manage the machine learning lifecycle, including SageMaker Pipelines, Model Registry, and Feature Store.
Requirements
Requires 8 or more years of overall IT experience, strong hands-on AWS cloud experience, and strong Python development skills. Candidates should have experience implementing MLOps pipelines, managing ML lifecycles, using SageMaker services, and working with CI/CD and cloud-native practices; a relevant bachelor's degree is required, and AWS certifications are preferred.
Skills
- AWS SageMaker
- Model Development
- Model Training
- Model Deployment
- Model Monitoring
- SageMaker Feature Store
- Feature Engineering
- MLOps
- Python
- SageMaker Pipelines
- Model Registry
- CI/CD
- AWS Bedrock
- Generative AI
- Terraform
- CloudFormation
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
Keywords
- AWS
- AWS SageMaker
- Model Development
- Model Training
- Model Deployment
- Model Monitoring
- SageMaker Feature Store
- Feature Engineering
- MLOps
- Python
- SageMaker Pipelines
- Model Registry
- CI/CD
- Cloud-Native Development
- AWS Bedrock
- Generative AI
- Terraform
- CloudFormation
- Kubernetes
- Docker
- AWS Certifications