Lead data Science Engineer

Overview

Lead Data Science Engineer to support Sabre Labs Research Team, building and deploying AI-driven systems for travel retailing and operations.

What you'll do

• Architect, code, and deploy complex software solutions integrating mathematical algorithms and machine learning models.
• Identify, prototype, and scale research ideas across travel domains including automation and itinerary optimization.
• Design end-to-end AI systems integrating large language models for automated agency support and intent recognition.
• Optimize GDS workflows and migrate legacy automation logic into modern GCP-based AI architectures.
• Establish AI lifecycle and MLOps policies to maintain model performance across changing travel data.
• Use Python and C++ best practices to refactor prototypes into production-quality, low-latency systems.
• Mentor junior data scientists and engineers and collaborate with cross-functional leaders on technical roadmaps.

What you'll need

• Minimum 7 years of related experience in Data Science, AI Engineering, or Operations Research.
• Advanced optimization modeling skills including LP and MIP.
• Experience with solvers like Gurobi or CPLEX.
• Advanced degree (PhD preferred) in Mathematics, Statistics, Computer Science, or Physics with strong research background.
• Proven experience in Agile Software Development, moving complex models from research to production.
• Expertise in deep learning, reinforcement learning, and natural language processing.
• Mastery of Python and C++ for computationally intensive, latency-sensitive tasks.

Details

• Location: Bengaluru, Karnataka, India.
• Work mode: Hybrid (as indicated by #LI-Hybrid).