Sabre

Overview

Sabre is seeking a talented Sr. Data Science Engineer to join the Sabre Data Intelligence & Research team to architect, code, and deploy complex software solutions or data intelligence pipelines that integrate advanced mathematical algorithms and machine learning models into Sabre's core platforms.

About Sabre

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, c

Requirements & Eligibility

• 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 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.

Key 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 Contr
• Drives Research & Innovation by identifying, prototyping, and scaling 'next-gen' ideas within the travel domain.
• 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.
• Promotes engineering excellence by utilizing best practices in Python, golang or C++.
• Collaborates with cross-functional leadership to align technical roadmaps with business goals.
• Influences stakeholder decision-making, advocating for the adoption of disruptive technologies within mission-critical environments.