You will use common frameworks, platforms, and languages, such as Python, SQL, GitHub, containerization tools (e.g., Docker, Kubernetes), and cloud computing infrastructures (e.g., AWS, Azure) to build robust and scalable data infrastructure that supports our AI research initiatives. You will develop infrastructure to support large-scale AI evaluation frameworks, design scalable data pipelines for generating and processing synthetic data, implement secure data storage solutions, and create infrastructure for real-time model evaluation and monitoring.