Job Description
Experience Level: 6- 7 years
Key Responsibilities
Data and AI Engineering lead for large and complex data ecosystem leveraging data domains, data products, cloud and modern technology stack
Real-Time Data Streaming: Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar.
Data and AI Engineering lead responsible for Implementing Data and AI pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready.
Develop Data and AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.
Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc.
Implement efficient Retrieval-Augmented Generation ...
Key Responsibilities
Data and AI Engineering lead for large and complex data ecosystem leveraging data domains, data products, cloud and modern technology stack
Real-Time Data Streaming: Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar.
Data and AI Engineering lead responsible for Implementing Data and AI pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready.
Develop Data and AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.
Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc.
Implement efficient Retrieval-Augmented Generation ...
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