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Machine Learning Systems Developer
2 weeks ago
The ideal candidate will have:
- Advanced Proficiency in Python: Advanced proficiency in Python programming language and strong knowledge of SQL.
- Hands-on Experience: Hands-on experience deploying ML workloads in cloud environments, preferably AWS SageMaker.
- ML Ops Experience: Practical experience with ML Ops: monitoring, alerting, CI/CD pipelines, Docker builds, and automated testing.
- GitHub Proficiency: Proficiency with GitHub version control and collaborative coding practices.
- AWS Cloud-Native Services: Experience working with AWS cloud-native services (S3, API Gateway, Lambda, ECS) or similar services on Azure/Google Cloud.
