About The Role

evelop and maintain scalable ETL pipelines for structured and unstructured data
Design and implement serverless microservices using cloud native patterns
Build and optimize data solutions using vector databases and knowledge graphs
Collaborate with ML engineers to integrate large language model capabilities into production systems
Implement retrieval augmented generation pipelines for advanced AI use cases
Work with Azure AI Services to deliver reliable and scalable solutions
Experience in Python development for backend or data engineering tasks
Hands on experience with ETL pipeline design and implementation
Familiarity with Azure infrastructure and cloud native services
Understanding of microservices architecture and serverless computing
Experience working with vector databases and data indexing solutions

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AI Data Engineer