Builds forecasting interfaces, data pipelines, and scheduling systems for thousands of support agents using ML models. Requires Python ML libraries experience and background in ML/algorithmic teams with focus on performance optimization.
Develops forecasting interfaces, data pipelines, and scheduling systems to predict support contact volume and optimize agent schedules for thousands, incorporating ML models and constraints like labor laws. Requires Python/ML experience and performance focus.
Builds autonomous AI agents and platform infrastructure for customer support, enhancing LLM performance with RAG techniques, scaling systems with Golang, and integrating STT/TTS. Requires 5+ years software engineering experience with LLMs.
Builds forecasting interfaces, data pipelines, and scheduling systems for thousands of support agents using ML models. Requires Python ML libraries experience and background in ML/algorithmic teams with focus on performance optimization.
Develops forecasting interfaces, data pipelines, and scheduling systems to predict support contact volume and optimize agent schedules for thousands, incorporating ML models and constraints like labor laws. Requires Python/ML experience and performance focus.
Builds autonomous AI agents and platform infrastructure for customer support, enhancing LLM performance with RAG techniques, scaling systems with Golang, and integrating STT/TTS. Requires 5+ years software engineering experience with LLMs.