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Quantum World Technologies Inc.

Senior AWS SageMaker / MLOps Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 7, 2026
Experience: 8+ years of overall IT experience.
Posting language: English
Posted: Oct 8, 2026

Original job description

8+ years of overall IT experience.

Strong hands-on experience with AWS SageMaker (training, deployment, monitoring, and inference).

Experience with SageMaker Pipelines, Model Registry, and Feature Store.

Strong expertise in MLOps concepts and ML lifecycle management.

Proficiency in Python programming.

Experience with AWS cloud services and cloud-native application development.

Experience with CI/CD tools such as Jenkins, GitHub Actions, or AWS CodePipeline.

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More about this job

Responsibilities

Build and manage machine learning workflows using AWS SageMaker, including model training, deployment, monitoring, and inference. Support MLOps and machine learning lifecycle management using SageMaker Pipelines, Model Registry, and Feature Store.

Requirements

Requires 8 or more years of overall IT experience and strong hands-on experience with AWS SageMaker and MLOps. Candidates should be proficient in Python and experienced with AWS cloud services, cloud-native application development, and CI/CD tools such as Jenkins, GitHub Actions, or AWS CodePipeline.

Skills

AWS SageMaker
MLOps
Python
AWS Cloud Services
SageMaker Pipelines
SageMaker Model Registry
SageMaker Feature Store
CI/CD
Jenkins
GitHub Actions
AWS CodePipeline
Cloud-Native Application Development
Model Training
Model Deployment
Model Monitoring

Visa sponsorship

Not detected in the job text

Keywords

AWS SageMaker
MLOps
Python
AWS Cloud Services
SageMaker Pipelines
Model Registry
Feature Store
CI/CD
Jenkins
GitHub Actions
AWS CodePipeline
Cloud-Native Application Development
Model Training
Model Deployment
Model Monitoring
Inference
IT Services
IT Consulting

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