AWS Sagemaker / MLOPS Engineer in Toronto

AWS Sagemaker / MLOPS Engineer in Toronto

Toronto Full-Time 123750 - 151250 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and implement end-to-end ML pipelines using AWS SageMaker.
  • Company: Join a leading tech firm in Toronto with a hybrid work model.
  • Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
  • Other info: Collaborative team culture with exciting projects in machine learning.
  • Why this job: Be at the forefront of AI innovation and make a real impact.
  • Qualifications: 8+ years in IT with strong AWS and Python skills.

The predicted salary is between 123750 - 151250 $ per year.

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

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

AWS Sagemaker / MLOPS Engineer in Toronto employer: Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

Astra-North Infoteck Inc. is an exceptional employer located in the vibrant city of Toronto, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, including mentorship programs and access to cutting-edge technology, all while working in a supportive environment that values diversity and creativity. Join us to be part of a forward-thinking team that is shaping the future of cloud-based solutions and AI.

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Contact Details:

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision! Recruitment Team

We think you need these skills to ace AWS Sagemaker / MLOPS Engineer in Toronto

AWS SageMaker
MLOps frameworks
Python development
SageMaker Feature Store
End-to-end ML pipelines
Model deployment automation
Monitoring