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RAG Pipeline Development: Design and optimize Retrieval-Augmented Generation (RAG) systems to process unstructured enterprise data into actionable intelligence. Model Governance: Implement safety guardrails and robust monitoring to prevent hallucinations and ensure brand-aligned responses. Inference Optimization: Oversee the optimization of models to run efficiently across diverse hardware architectures and distributed cloud/edge environments. Knowledge Readiness: Mana...
About the Role
Description and Requirements
Role Summary: The AI/ML Engineering Head leads the development of the intelligence layer for vertical offerings. The position is responsible for ensuring models are accurate, context-aware, and compliant with enterprise-grade safety and governance standards. This person may also be required to lead model finetuning activities to meet customer requirements, if necessary.
Job Responsibilities:
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