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AWSAgileDevOps
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Job Description
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
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