MLOPS Engineer

Posted via LinkedIn Recruiter (not a company profile)

Posted last week

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About the role

  • Experienced MLOps Engineer needed for hybrid contract role in Toronto, ON. Must have 8 years of AWS ML platform experience, SageMaker, Docker, and Kubernetes.

Responsibilities

  • Design and manage end-to-end ML pipelines using SageMaker Pipelines, automate model training, deployment, monitoring, and retraining workflows on AWS. Utilize Python, advanced ML libraries, Docker, and Kubernetes/EKS.

Requirements

  • 8+ years of experience as an MLOps Engineer; strong expertise in AWS, SageMaker Pipelines, Python, Docker, and Kubernetes/EKS.

Job type

Contractor

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

AWSSageMakerPythonDockerKubernetesEKS

Location requirements

Linkedin Recruiter PostTorontoOntario Toronto

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