Senior AWS SageMaker / MLOps Engineer
- Toronto, ON, Canada
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Job details
- Job type
- Contract
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- Posting language
- English
- Posted
Original job description
Top 3 Required Skills:
AWS SageMaker (Model Development, Training, Deployment, Monitoring) AWS SageMaker Feature Store and Feature Engineering MLOps and Python Development
More about this job
Responsibilities
Develop, train, deploy, and monitor machine learning models using AWS SageMaker. Build and manage feature engineering workflows and use the AWS SageMaker Feature Store as part of MLOps and Python development.
Requirements
The role requires experience with AWS SageMaker across model development, training, deployment, and monitoring. It also requires knowledge of the SageMaker Feature Store, feature engineering, MLOps, and Python development.
Skills
- AWS SageMaker
- Model Development
- Model Training
- Model Deployment
- Model Monitoring
- AWS SageMaker Feature Store
- Feature Engineering
- MLOps
- Python Development
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Consulting
Keywords
- AWS SageMaker
- Model Development
- Model Training
- Model Deployment
- Model Monitoring
- AWS SageMaker Feature Store
- Feature Engineering
- MLOps
- Python
- IT Services
- IT Consulting