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Lead data Science Engineer
Sabre
Bengaluru, IND
Full-time
Senior · 7+ years experience
Hybrid
Discovered 1 weeks ago
Linear Programming (LP)Mixed-Integer Programming (MIP)GurobiCPLEXAgile Software DevelopmentPython
Free
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Linear Programming (LP)Mixed-Integer Programming (MIP)Gurobi
Key Skills for This Role
Linear Programming (LP)Mixed-Integer Programming (MIP)GurobiCPLEXAgile Software DevelopmentPython
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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.
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