About the Role
Responsibilities
- Develop 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
- Ensure code quality through testing, code reviews, and adherence to engineering standards
- Collaborate with distributed teams and participate in technical discussions across time zones
Requirements
- Experience in Python development for backend or data engineering tasks
- Hands on experience with ETL pipeline design and implementation <...
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