Lead data Science Engineer

Sabre Corporation; India; On-site; INR 6,000,000 - 11,000,000; Full time

Job summary

Sabre Corporation seeks an experienced AI Engineer to design and deploy advanced ML/AI solutions within Sabre’s core platforms, emphasizing scalable models and real‑time optimization for travel domains.

You will prototype novel AI ideas, integrate LLMs for automated agency support, and mentor teams while advancing MLOps practices for high‑fidelity, production-grade systems.

Qualifications

• Minimum 7 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.
• Proven experience in Agile Software Development and moving complex models from research to production.
• Expertise in ML/AI including Deep Learning, Reinforcement Learning, and NLP.
• High-performance programming skills in Python and C++ for latency-sensitive tasks.
• Knowledge of Modern AI Tech Stack including GCP, MLOps tools, and containerization.
• Familiarity with LangChain or LlamaIndex and RAG-based workflow automation.

Responsibilities

• Architect and deploy complex AI systems integrating ML models into Sabre platforms.
• Prototype and scale AI ideas, including AI-driven automation for travel domains.
• Design end-to-end AI solutions focusing on LLM integration for automated agency support and real-time itineraries.
• Lead cross-functional projects to production, driving MLOps standards and low-latency performance.
• Mentor junior data scientists and engineers to foster rigorous experimentation and excellence.

Skills

Python

C++

MLOps

Deep Learning

Reinforcement Learning

NLP

LangChain

LlamaIndex

GCP

Education

PhD preferred in Mathematics/Statistics/CS/Physics

Tools

Gurobi

CPLEX

Docker

Kubernetes

Vertex AI

Job description

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 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 7 years of related experience in Data Science, AI Engineering, or Operations Research. Advanced Optimization Modeling skills, including Linear Programming (LP), Mixed-Integer Programming (MIP), and experience with solvers like Gurobi or CPLEX. 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. 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 Operations, Departure Control Systems (DCS), network planning, or route profitability. Superior analytical skills, particularly in processing high-volume, real-time data from GDS, OTA, and airline sources.

We will give careful consideration to your application and review your details against the position criteria. Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.

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.

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Equal Employment Opportunity

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