AWS Sagemaker / MLOPS Engineer

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Toronto; Hybrid; CAD 120,000 - 150,000; Full time

Job summary

Astra-North Infoteck Inc. in Toronto, Ontario, is seeking a highly experienced Senior AWS SageMaker / MLOps Engineer to lead end-to-end ML pipelines on AWS. The role is hybrid, with 2 days per week in-person at the Toronto office.

Ideal candidates will have 8+ years IT experience, hands-on SageMaker expertise, feature store management, and strong Python development with CI/CD integration for enterprise-scale ML deployments.

Qualifications

• We need 8+ years of IT experience with hands-on AWS cloud services.
• Experience with AWS SageMaker, SageMaker Feature Store, and ML pipelines.
• Strong Python development skills and CI/CD experience.

Responsibilities

• Design and implement end-to-end ML pipelines on AWS.
• Manage feature management, model deployment, and monitoring.
• Integrate CI/CD for enterprise ML platforms.

Skills

SageMaker Development

Feature Store

MLOps & Python

Education

Bachelor's degree in CS/Engineering/IT

AWS certifications preferred

Tools

Terraform

Kubernetes

Docker

Azure Machine Learning

Job description

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:

• AWS SageMaker (Model Development, Training, Deployment, Monitoring)

AWS Sagemaker / MLOPS Engineer

Toronto, ON

Hybrid: 2 days per week in-person at Toronto office preferred

Skills: Digital: Python | Digital: Azure Machine Learning (ML) | Digital: Terraform | AI & Gen AI - Products & Tools

Experience Required: 6–8 Years

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:

• AWS SageMaker (Model Development, Training, Deployment, Monitoring)
• AWS SageMaker Feature Store and Feature Engineering
• MLOps and Python Development

Top 3 Preferred Skills:

• AWS Bedrock / Generative AI
• Terraform / CloudFormation
• Kubernetes and Docker

Experience Required:

• 8+ years of overall IT experience
• Strong hands‑on experience with AWS cloud services
• Experience implementing MLOps pipelines and ML lifecycle management
• Strong Python development skills
• Hands‑on experience with SageMaker Pipelines, Model Registry, and Feature Store
• Experience with CI/CD tools and cloud-native development practices

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
• AWS certifications preferred