Define the multi-year ML direction, modeling roadmap, and shared objectives and key results with partners while leading, mentoring, and growing a team of engineers. Architect and optimize sub-second ML/Large Language Models (LLM) inference and agentic reasoning loops enabling real-time intent resolution, adaptive follow-up questioning, and moderation transparency. Lead the transition from fragmented models to unified joint-modeling architectures. Advocate scalable evaluation frameworks spanning structured facts and unstructured claims, active learning pipelines, and synthetic data generation to maximize model performance. Cultivate engineering excellence across the organization.
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