Cloud-Native MLOps Engineer | Kubernetes & ML CI/CD

Qualifications

• Experience working with container orchestration platforms (e.g., Kubernetes) with production deployments.
• Cloud-native ML deployment experience using platforms such as SageMaker, Azure ML, and Vertex AI.
• Proficiency in Python, Bash, and scripting for automation.
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, and ARM.
• Strong grasp of Continuous Integration and Continuous Deployment (CI/CD) for Machine Learning projects.

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