Senior Data Science Engineer

Sabre Corporation; India; On-site; INR 2,500,000 - 5,200,000; Full time

Job summary

Sabre Corporation, a leader in AI-native travel technology, seeks a Sr. Data Science Engineer to design, develop, and test advanced data intelligence solutions within the Sabre Data Intelligence & Research team.

The role involves building production-grade AI systems and ML pipelines that power pricing, automation, and itinerary optimization across global travel networks. You will prototype and scale next-gen AI ideas, work with LLMs for internal tools, and collaborate with architects and product

Qualifications

• Minimum 4 years of related experience in Data Science, AI Engineering, or Operations Research.
• Advanced degree (Masters/PhD preferred) in Mathematics, ML, Statistics, CS, or Physics with strong research background.
• Proven experience in Agile software development, moving models from research to production.
• Expertise in ML/AI including Deep Learning, RL, and NLP.
• High-performance programming skills in Python, Golang or C++ for latency-sensitive tasks.

Responsibilities

• Architects, codes, and deploys complex software solutions and data pipelines with ML models.
• Drives research and innovation by prototyping scalable AI ideas for travel domain.
• Designs end-to-end AI systems focusing on market opportunities and integration of LLMs.
• Solves high-impact challenges in GDS workflows and modernizing automation architectures.
• Establishes AI lifecycle policies and MLOps standards for high-fidelity model performance.
• Promotes engineering excellence with production-quality, low-latency systems.
• Collaborates with architects and product managers to align technical roadmaps with business goals.
• Influences stakeholder decisions to adopt disruptive AI technologies in mission-critical environments.
• Mentors junior data scientists and engineers to foster rigorous experimentation and high performance.

Skills

Deep Learning

Reinforcement Learning

NLP

Python

Golang

C++

MLOps

Containerization

GCP Vertex AI

Education

Masters/PhD in Math/ML/CS/Physics

Tools

Docker

Kubernetes

BigQuery

Vertex AI

Job description

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.

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.

Team Description

Sabre is seeking a talented Sr. Data Science Engineer to join the Sabre Data Intelligence & Research team. Sabre Data Intelligence & Research is a specialized team of researchers, mathematicians, and AI engineers who serve as the intelligent core of Sabre’s travel marketplace. We are 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 Machine Learning, 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 new products and solutions relevant 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. Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.

#LI-Hybrid#LI-NG1

Reasonable Accommodation

Sabre is committed to working with and providing reasonable accommodation to applicants with disabilities. Applicants applying for a Sabre position with a disability who require a reasonable accommodation for any part of the application or hiring process may contact Sabre at [e-mail]. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.

Equal Employment Opportunity

Sabre is an equal employment opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals. EEO IS THE LAW

Technical Assistance

For technical assistance with this career site, send an email to [e-mail]. Note: Resumes/CVs are not accepted via email.