At Sabre, we’re passionate about building software that solves problems. In this role, you will plan, design, develop, and test new products and solutions revelevant for the industry and Sabre, help build software systems or applications for software enhancements.
Role and Responsibilities
Architects, codes, and deploys complex software solutions or data intelligence pipelines 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 "next-gen" 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 identifying new market opportunities in Media, integration of Large Language Models (LLMs) for various internal tools, 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, golang or C++, ensuring research-grade prototypes are refactored into production-quality, low-latency systems.
Collaborates with cross-functional leadership, including architects and product managers, to align technical roadmaps with business goals like NDC adoption, total travel cost optimization, and operational efficiency.
Influences stakeholder decision-making, advocating for the adoption of disruptive technologies—including Agentic AI—within mission-critical, high-availability travel environments.
Mentors and develops junior data scientists and engineers, fostering a culture of rigorous experimentation, academic-level research, and high-performance engineering.
Qualifications and Education Requirements
Minimum 4 years of related experience in Data Science, AI Engineering, or Operations Research.
Advanced Degree (Masters/PhD preferred) in Mathematics, Machine Learning, Statistics, Computer Science, or Physics with a strong research background and a proven track record of innovation.
Proven experience in Agile Software Development, with a demonstrated ability to move complex models from the research phase to global production.
Expertise in advanced ML/AI solutioning, including Deep Learning, Reinforcement Learning, and Natural Language Processing (NLP).
High-performance programming skills, with mastery of one of the the programming languages such as Python, golang or C++ for computationally intensive and latency-sensitive tasks.
Superior analytical skills, particularly in processing high-volume, real-time data from GDS, OTA, and airline sources.
Deep knowledge of the Modern AI Tech Stack, including GCP (Vertex AI, BigQuery), MLOps tools, and containerization (Docker, Kubernetes).
Proficiency in Generative AI frameworks and experience with RAG-based systems for workflow automation.
Self-motivated leadership, capable of driving complex, cross-functional projects to completion with minimal direction.
Desirable (Optional) Qualifications
Experience in the Travel Industry, specifically within the Global Distribution System (GDS) or Online Travel Agency (OTA) space.
Domain knowledge in Media Operations, including AdTech ecosystems (DSPs/SSPs), Real-Time Bidding (RTB), campaign performance analytics, audience segmentation, or Media Mix Modeling (MMM).
We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses.
We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses.
Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.
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