Principle Data Science Engineer

Sabre; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Sabre is seeking a talented Principal Data Science Engineer to join the Data Intelligence and Research team. You will design and deploy high-performance AI-driven software that blends math optimization with state-of-the-art ML, working on Sabre's travel platforms.

You will mentor engineers, shape AI lifecycle practices, and partner with product and architecture teams to deliver scalable solutions across pricing, network planning, and agency automation in a cloud-first environment using Python,

Qualifications

• Minimum 10 years in Data Science, AI Engineering, or Operations Research.
• PhD preferred with a strong research track record.
• Proven Agile software development experience delivering production models.
• Expertise in Deep Learning, Reinforcement Learning, and NLP.
• Strong Python and C++ skills for latency-sensitive tasks.
• Experience with GCP, MLOps, Docker, and Kubernetes.
• Knowledge of Generative AI frameworks (LangChain, LlamaIndex) and RAG-based systems.
• Proven leadership and cross-functional project delivery.

Responsibilities

• Architects, codes, and deploys software that integrates advanced algorithms and ML into Sabre's core platforms.
• Drives research innovation by prototyping scalable ideas in travel domain, including AI-driven automation.
• Designs end-to-end AI systems and integrates LLMs for agency support and conversational commerce.
• Solves high-impact challenges like optimizing GDS workflows and migrating to cloud-based AI architectures.
• Sets AI lifecycle policies with strong MLOps standards.
• Promotes engineering excellence with Python and C++ to production-grade systems.
• Collaborates with architects and product managers to align roadmaps with business goals (NDC adoption, travel cost optimization).
• Influences stakeholders to adopt disruptive technologies like Agentic AI in high-availability environments.
• Mentors junior data scientists and engineers, fostering rigorous experimentation and high-performance engineering.

Skills

Data Science

AI Engineering

Python

C++

GCP

MLOps

Docker

Kubernetes

NLP

LangChain

LlamaIndex

RL

Agile

Leadership

Education

PhD in Mathematics/Statistics/CS/Physics

Tools

Vertex AI

BigQuery ML

Gurobi

CPLEX

Job description

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 Principal Data Science Engineer to join the Data Intelligence and Research (DIR) team.

DIR 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. 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 golang 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 10 years of related experience in Data Science, AI Engineering, or Operations Research.
• Advanced Degree (PhD preferred) in Mathematics, 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 Python and 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 ML), MLOps tools, and containerization (Docker, Kubernetes).
• Proficiency in Generative AI frameworks, such as LangChain or LlamaIndex, 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 travel industry
• Domain knowledge in Airline Revenue Management, Airline Operations, Departure Control Systems, network planning, or route profitability.
• Advanced Optimization Modeling skills, including Linear Programming (LP), Mixed-Integer Programming (MIP), and experience with solvers like Gurobi or CPLEX.

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.