Build production machine learning systems with AWS SageMaker, Python, and SQL in a versatile hybrid engineering role. Work two days weekly in Toronto.

As a Senior MLOps and Cloud Engineer, you will deploy models, operate pipelines, and manage AWS infrastructure. You will configure batch and real-time inference, automate data transformations, and collaborate directly with business teams. Jira supports project execution and delivery ownership.

Key Responsibilities:

- Deploy and operationalize machine learning models on AWS
- Manage SageMaker workflows and inference endpoints
- Automate Python and SQL data pipelines
- Optimize CI/CD, containers, and cloud infrastructure
- Monitor production metrics and initiate retraining

Requirements:

- Seven years of technical experience targeted; four to five-plus considered
- Bachelor's degree or equivalent practical experience
- Strong Python and SQL proficiency
- Hands-on AWS SageMaker deployment experience
- Git, CI/CD, Docker, ECS, or EKS experience

Apply AWS, SageMaker, Python, and SQL expertise to own reliable machine learning delivery from pipelines through production.

📌 Senior AWS MLOps Engineer (Toronto)
🏢 Randstad Digital
📍 Toronto