AWS Sagemaker MLOPS Engineer
Job Summary
AWS Sagemaker / MLOPS Engineer
Hybrid: 2 days per week in-person at Toronto office preferred
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:
Top 3 Preferred Skills:
Experience Required:
Education Requirements:
Required Skills:
Java