Lead the evolution of transforming complex documents into structured, reliable data to feed AI agents. Build and operate the service infrastructure for data extraction from PDFs, tables, and images while collaborating on API contracts and microservices modularization.
You will be responsible for evolving data engineering pipelines and building end-to-end observability to ensure performance and business impact. Additionally, you will define technical indicators, optimize Python code for scalability, and collaborate on the architecture of robust cloud solutions.
Act as the strategic link between business vision and data science to implement AI models and agents for healthcare clients. Lead the delivery of projects aimed at reducing waste in the health sector through data-driven diagnostics and technical reporting.
This is a talent pool registration, not for a specific role, aimed at identifying individuals passionate about transforming the healthcare sector through technology. The company focuses on reducing fraud, abuse, and waste in health payments using data and artificial intelligence.
