Principal Data Science Engineer

Overview

Principal Data Science Engineer for Sabre’s Data Intelligence and Research (DIR) team, building and deploying AI-enhanced software systems for travel platforms.

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 airline, agency automation, and travel domain use cases.
• Design end-to-end AI systems integrating large language models for automated agency support and conversational commerce.
• Optimize GDS workflows and migrate legacy automation logic into modern, GCP-based AI architectures.
• Define MLOps standards and AI lifecycle policies for high-fidelity model performance.
• Use Python and Go best practices to refactor prototypes into production-quality, low-latency systems.
• Mentor junior data scientists and engineers.

What you'll need

• 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.
• Experience moving complex models from research to global production.
• Expertise in deep learning, reinforcement learning, and NLP.
• Proficiency in Python and C++ for compute-intensive, latency-sensitive tasks.
• Experience processing high-volume, real-time data from GDS, OTA, and airline sources.
• Knowledge of GCP (Vertex AI, BigQuery ML), MLOps tools, and containerization (Docker, Kubernetes).

Nice to have

• Travel industry domain knowledge across areas such as airline revenue management or departure control systems.
• Advanced optimization modeling skills using LP/MIP and solvers like Gurobi or CPLEX.

Details

• Location: Bengaluru, Karnataka, India.
• Work mode: Hybrid.