Richmond, Virginia17 days ago
Drives the conception, prototyping, and deployment of machine learning models-particularly in natural language processing (NLP) and recommender systems-across multiple product lines; Leverages AWS and Azure ecosystems, containerization, and infrastructure-as-code tools to create and maintain production-ready AI systems that can scale efficiently; Working from proof-of-concept through full productization, including data ingestion, model training, deployment, monitoring for performance drift, and iteration for continuous improvement; Informs, influences, and supports product decisions. Advocates for robust DevOps/MLOps, agile methodologies, and cross-functional collaboration to maximize the impact of AI deployments; Aligns K12's AI capabilities with the needs of our schools & school services teams that will drive the adoption and use of actionable data to deliver improved outcomes; Identifies and defines strategic opportunities for leveraging data science across other businesses and functions in support of K12's mission, vision and long-term strategy; Demonstrates a passion for education and the K12 experience, actively motivating and encouraging the same passion in employees.