Senior AWS MLOps Engineer

5 hours ago

Toronto, Ontario, Canada Randstad Digital Full-time

Build production machine learning systems with AWS SageMaker, Python, and SQL in a flexible 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.