AWS ML engineer_Toronto, ON_Onsite _Full time Permanent
Role summary
We are seeking an experienced AWS ML Engineer to join our team in Toronto. The role involves designing, building, and deploying machine learning models and end-to-end ML workflows on AWS, utilizing services like SageMaker, Glue, S3, and Lambda. Responsibilities include developing data preprocessing, training, inference, and monitoring pipelines, integrating ML models with applications via APIs and cloud services, and optimizing model performance, scalability, and cost. The engineer will collaborate with data scientists, data engineers, and DevOps teams in an Agile environment.
AWS ML engineer
Toronto, ON
Total Experience: 6-8 years
Required Skill Sets:
• Design, build, and deploy ML models and pipelines on AWS
• Develop end to end ML workflows using Sage Maker, 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