Job Description

  • Design and develop data pipelines for Generative AI projects by leveraging a combination of technologies, including Vector DB, Graph DB, Airflow, Spark, PySpark, Python, LangChain, AWS Functions, Redshift, and SSIS. This will involve the logical and efficient integration of these tools to create seamless, high-performance data flows that efficiently support the data requirements of our cutting-edge AI initiatives. Collaborate with data scientists, AI researchers, and other stakeholders to understand data requirements and translate them into effective data engineering solutions.
  • User will be managing movement, organization and quality assessments of large set of data to facilitate the creation of Knowledge base for RAG systems and model training
  • Demonstrate familiarity with data integration services such as AWS Glue and Azure Data Factory, showcasing the ability to effectively utilize these platforms for seamless data ingestion, transformation, and orchestration ...

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