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Job Description: Role: AWS ML Engineer

Location: Toronto Office

Hybrid: 2 days a week in office

Primary Skills: (AWS ML Engineer) SageMaker, Glue, S3, and Lambda

Design, build, and deploy ML models and pipelines on AWS

  • Develop end‑to‑end ML workflows using SageMaker, Glue, S3, and Lambda
  • Build data preprocessing, training, inference, and monitoring pipelines
  • Integrate ML models with applications using APIs and cloud services Optimize model performance, scalability, and cost on AWS infrastructure
  • Collaborate with data scientists, data engineers, and DevOps teams in Agile delivery

Key Skills

Ranked by relevance

aws s3 devops cloud
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Posted
May 06, 2026
Type
Full-time
Level
Associate
Location
Toronto

Industries

IT Services IT Consulting

Categories

Information Technology

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