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AI Data Infrastructure Engineer for Scalable LLM Systems

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Summary

AI Engineer at AI Singapore (hosted at NTU) designing, building, and scaling the data infrastructure that powers LLM training, fine-tuning, evaluation, and RAG. Day to day involves shaping data architecture, governing data access, and building pipelines with AWS Glue, EMR, Athena, and QuickSight alongside researchers and engineers.

AI Singapore (AISG), hosted at NTU, seeks an AI Engineer to design, build, and scale data infrastructure powering LLM training, fine-tuning, evaluation, and retrieval augmented generation across the organization.

You will shape data architecture, govern access, and develop data pipelines using AWS Glue, EMR, Athena and QuickSight to provide visibility into platform usage and costs while collaborating with researchers and engineers.

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