Lead data Science Engineer
Powering the agentic revolution in travel. Sabre is an AI-native technology leader, backed by one of the world’s largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold, new disruptors, guiding them to the next age of travel retailing through intelligent, connected, and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering airlines, hoteliers, agencies and other partners to retail, distribute and fulfill travel worldwide.Sabre is seeking a talented Lead Data Science Engineer to support Research Team. Sabre Labs Research team delivers as the innovation engines intelligent core of Sabre’s travel marketplace. We are a specialized group of researchers, mathematicians, and AI engineers dedicated to solving the most complex challenges across the global travel domain. Our mission spans Airline Pricing, Agency Automation, Network Planning, Airline Operations, and Departure Control Systems (DCS). We build high-performance systems that streamline travel agency workflows, optimize airline networks, and enhance the productivity of travel consultants worldwide. By blending classical mathematical optimization with cutting-edge Generative AI and robust MLOps, we ensure our models power the next generation of travel distribution—from initial search and booking to post-trip service, agency efficiency, and seamless airport operations.At Sabre, we’re passionate about building software that solves problems. In this role, you will plan, design, develop, and test software systems or applications for software enhancements and new products including cloud-based tools.Role and Responsibilities:Architects, codes, and deploys complex software solutions that integrate advanced mathematical algorithms and machine learning models into Sabre’s core retailing, Network Planning, Agency Automation, and Departure Control platforms.Drives Research & Innovation by identifying, prototyping, and scaling new ideas within the travel domain, such as AI-driven automation for Travel Management Companies (TMCs) and personalized, real-time itinerary optimization.Designs end-to-end AI systems, specifically focusing on the integration of Large Language Models (LLMs) for automated agency support, customer intent recognition, and conversational commerce.Solves high-impact organizational challenges, such as optimizing Global Distribution System (GDS) workflows and migrating legacy automation logic into modern, GCP-based AI architectures.Establishes strategic AI lifecycle policies, defining rigorous standards for MLOps to ensure high-fidelity model performance across the volatile data landscapes of the travel industry.Promotes engineering excellence by utilizing best practices in Python and C++, ensuring research-grade prototypes are refactored into production-quality, low-latency systems.Collaborates with cross...