Lead data Science Engineer

Dormont Manufacturing Co; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Sabre Labs Research seeks a Data Science Engineer to design, develop, and test software systems integrating advanced ML models into Sabre’s core travel platforms. You will work on AI-enabled pricing, agency automation, and network planning with production-grade, low-latency solutions.

The role emphasizes MLOps, LLM integration for automating agency support, and real-time itinerary optimization. You will mentor juniors and collaborate with cross-functional leaders to align technical roadmaps with

Qualifications

• Advanced degree in Mathematics, Statistics, CS, or Physics with strong research background.
• 5+ years of experience in Data Science, AI Engineering, or OR.
• Experience moving models from research to production in Agile environments.

Responsibilities

• Architect, code, and deploy complex software solutions integrating ML models into Sabre's platforms.
• Drive research and innovation by prototyping scalable AI ideas for the travel domain.
• Design end-to-end AI systems with LLMs for automated agency support and conversational commerce.
• Solve high-impact challenges like optimizing GDS workflows and migrating legacy logic to modern cloud-based architectures.
• Define and enforce MLOps standards for high-fidelity model performance.

Skills

Python

C++

GCP Vertex AI

BigQuery

MLOps

NLP

Deep Learning

Reinforcement Learning

Leadership

Agile

Education

PhD preferred in Math/CS/Stats/Physics

Tools

GCP Vertex AI

Docker

Kubernetes

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.

Team Description

Sabre is seeking a talented Data Science Engineer to join the Sabre Labs Research team.

Sabre Labs 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 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 "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 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-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 5 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, 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 Airline Operations , including Departure Control Systems (DCS), 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.

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

Technology that takes you wherever you want to go.

Sabre Corporation is a leading software and technology company that enhances the global travel industry, offering innovative solutions for airlines, hoteliers, and travel partners.

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