AWS SageMaker/MLOps Engineer
- Toronto, ON, Canada
Contract
Applications open in a new tab.
Job details
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
Job Title: AWS SageMaker / MLOps Engineer
Location: Toronto, ON
Duration: Contract (Hybrid)
Detailed Job 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.T he ideal candidate should have hands-on experience with AWS SageMaker, SageMaker Feature Store, MLOps frameworks, and Python development. The resource will be
More about this job
Responsibilities
Build, deploy, and operationalize machine learning solutions on AWS. Apply AWS SageMaker, SageMaker Feature Store, MLOps frameworks, and Python development.
Requirements
Requires 8 or more years of overall IT experience and strong expertise in building, deploying, and operationalizing machine learning solutions on AWS. Hands-on experience with AWS SageMaker, SageMaker Feature Store, MLOps frameworks, and Python development is expected.
Skills
- AWS SageMaker
- MLOps
- Machine Learning
- AWS
- SageMaker Feature Store
- Python
- Machine Learning Deployment
- Machine Learning Operations
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
Keywords
- AWS
- AWS SageMaker
- SageMaker Feature Store
- MLOps
- MLOps Frameworks
- Machine Learning
- Python
- Machine Learning Solutions
- Machine Learning Deployment
- Machine Learning Operations
- IT Services
- IT Consulting