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AWS ML engineer_Toronto, ON_Onsite _Full time Permanent
AceStack
Toronto · On-site Full-time Senior Yesterday
About the role
Position
AWS ML engineer
Location
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
Responsibilities
- 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
Skills
AWSGlueLambdaMLSageMaker
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