Key Responsibilities:

● Databricks Administration: Manage and optimize Databricks environments, ensuring high availability, performance, and security.

● DevOps Engineering: Implement and maintain Databricks on serverless architectures, ensuring seamless CI/CD pipelines and robust integration with AWS services.

● MLOps Implementation: Develop and enforce best practices for machine learning lifecycle management using Databricks. Collaborate with data scientists and developers to automate and streamline the development of our AI model.

● AWS and Azure Integration: Leverage a broad range of AWS services and maintain familiarity with Azure to ensure cross-compatibility and optimal performance of our platforms.

● Namespace Administration in EKS: Manage Kubernetes namespace-level operations within AWS EKS, including application deployment and environment configuration. Qualifications:

● 3+ years in a similar role with proven expertise in Databricks, AWS, and preferably some exposure to Azure.

● Strong background in MLOps, DevOps, and cloud (desirable if in a similar industry)

● Knowledge of AWS AI Services