AWS MLOps Engineer

**Responsibilities:**

- Design, implement, and maintain MLOps solutions on the AWS platform.

- Develop and manage CI/CD pipelines for machine learning models.

- Implement model deployment strategies using AWS services such as SageMaker, Lambda, and ECS.

- Design and implement model supervision mechanisms to monitor model performance and health.

- Develop automation frameworks for model training, deployment, and monitoring.

- Collaborate with data scientists, engineers, and other stakeholders to design end-to-end workflows for machine learning projects.

- Implement drift detection and mitigation strategies using AWS services like SageMaker Model Monitor and CloudWatch.

- Stay up-to-date with the latest advancements in MLOps practices and AWS services, and propose innovative solutions to improve efficiency and scalability.