Senior MLOps Engineer
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Requirements
- Design, build, and maintain production ML pipelines and infrastructure
- Manage model versioning, deployment, and monitoring systems in cloud environments
- Implement CI/CD workflows for ML model training, validation, and serving
- Work with containerization (Docker, Kubernetes) and orchestration tools
- Collaborate with data scientists to productionize models and optimize performance
- Establish monitoring, logging, and alerting for ML systems in production
- Write clean, scalable Python code and infrastructure-as-code (Terraform/CloudFormation)
Required Skills
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