Data Scientist

• Develop, fine-tune, and evaluate generative AI and large language models using AWS frameworks and platforms.
• Analyze multimodal datasets (machine telemetry, service data, documentation, unstructured text, and internal knowledge systems) to derive insights and support decision-making.
• Design retrieval-augmented generation (RAG), summarization, and recommendation solutions that connect across multiple data sources.
• Apply Model Context Protocol (MCP) and design agentic workflows that allow LLMs to interact seamlessly with diverse enterprise systems and autonomously perform multi-step tasks.
• Collaborate with cross-functional teams to ensure models can be deployed in cloud-based workflows.
• Present research findings, prototypes, and results to technical and business stakeholders.

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