AWS ML Engineer
AWS ML Engineer focuses on build, support, test, or improve systems according to the role and technology stack.
What the role involves
- Build, support, test, or improve systems according to the role and technology stack.
- Work through technical issues carefully and keep delivery, documentation, or support activity organised.
Skills and requirements
- Design| build| and deploy ML models and pipelines on AWS.
- Develop end to end ML workflows using Sage Maker| Glue| S| and Lambda.
- Build data preprocessing| training| inference| and monitoring pipelines.
- Integrate ML models with applications using APIs and cloud services.
Confirmed role details
- Toronto, ON (Hybrid).
Candidate fit
- automation discipline, troubleshooting, documentation, and confidence with operational reliability
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