Job Description
Experience Level: 2-4 years
Key Responsibilities
Data and AI Engineer responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions.
Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.
Build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar.
Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc.
Develop AI-driven systems to improve data capabilities
Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management.
Collaborate closely with Dev Ops and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems.
Re...
Key Responsibilities
Data and AI Engineer responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions.
Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.
Build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar.
Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc.
Develop AI-driven systems to improve data capabilities
Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management.
Collaborate closely with Dev Ops and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems.
Re...
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