AWS ML Engineer - Toronto (Hybrid) - Contract

Toronto, Ontario, CanadaHybridContractPosted 2 months ago

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Role summary

This is a 6-12 month contract role for an AWS ML Engineer in Toronto, working a hybrid schedule. The engineer will be responsible for designing, building, and deploying ML models and end-to-end ML workflows on AWS, utilizing services like SageMaker, Glue, S3, and Lambda. Key duties include developing preprocessing, training, inference, and monitoring pipelines, integrating models with applications via APIs, and optimizing performance, scalability, and cost. Collaboration with data scientists, data engineers, and DevOps teams in an Agile environment is expected.

Role: AWS ML Engineer

Location: Toronto Downtown, ON – Hybrid

6-12 Months Contract

Required Skills & Experience:

Must have 5+ Years of overall IT Experience.
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

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