About the Role
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 endtoend 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
5+
Experience (Years): 8-10
5+
Experience (Years): 8-10
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