๐ 2 days ago
Design and build data ingestion pipelines for Databricks using PySpark and PySQL, while implementing AI solutions and ensuring code quality through testing and stakeholder collaboration.
Design and build data ingestion pipelines for Databricks using PySpark and PySQL, while implementing AI solutions and ensuring code quality through testing and stakeholder collaboration.
This role involves building and deploying production-ready AI applications on Azure Databricks, focusing on data ingestion, model integration, and optimization.
Lead AI Engineer responsible for solution architecture, data pipelines, and AI model integration, ensuring robust deployment and collaboration with cross-functional teams.
Drive new business within the mid-market segment by identifying, engaging, and converting organizations that can benefit from Enable Data's data, analytics, and technology solutions.
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