MLOps Engineer (Databricks, AWS) - REMOTE

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Requirements:

• 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

Responsibilities:

• Manage and optimize Databricks environments, ensuring high availability, performance, and security.
• Implement and maintain Databricks on serverless architectures, ensuring seamless CI/CD pipelines and robust integration with AWS services.
• Develop and enforce best practices for machine learning lifecycle management using Databricks.
• Collaborate with data scientists and developers to automate and streamline our AI model development.
• Leverage a broad range of AWS services and maintain familiarity with Azure to ensure cross-compatibility and optimal performance of our platforms.
• Manage Kubernetes namespace-level operations within AWS EKS, including application deployment and environment configuration.