5 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Architect, code, and deploy software integrating mathematical algorithms and machine learning models into Sabre travel platforms.
- Research, prototype, and scale AI-driven automation and real-time itinerary optimization solutions.
- Design end-to-end AI systems using large language models for agency support, intent recognition, and conversational commerce.
- Optimize GDS workflows and migrate legacy automation logic to GCP-based AI architectures.
- Define strategic AI lifecycle policies and MLOps standards for reliable model performance.
- Develop Python and Golang systems and turn research prototypes into production-quality, low-latency software.
- Collaborate with architects, product managers, and cross-functional leaders on technical roadmaps and business goals.
- Advocate for agentic AI and other emerging technologies in mission-critical travel environments.
- Mentor junior data scientists and engineers.
Requirements
- At least 10 years of related experience in data science, AI engineering, or operations research.
- Advanced degree, preferably a PhD, in mathematics, statistics, computer science, or physics with a strong research background and innovation record.
- Experience with software development and moving complex models from research into global production.
- Expertise in deep learning, reinforcement learning, and natural language processing.
- Mastery of Python and C++ for computationally intensive and latency-sensitive systems.
- Strong analytical skills processing high-volume, real-time data from GDS, OTA, and airline sources.
- Knowledge of GCP, Vertex AI, BigQuery ML, MLOps tools, Docker, and Kubernetes.
- Experience with generative AI frameworks such as LangChain or LlamaIndex and RAG-based systems.
- Ability to lead complex cross-functional projects with minimal direction.
- Travel-industry experience and knowledge of airline revenue management, airline operations, departure control systems, network planning, or route profitability are desirable.
- Advanced optimization modeling experience with linear programming, mixed-integer programming, Gurobi, or CPLEX is desirable.
Benefits
- Hybrid work arrangement is indicated by the #LI-Hybrid designation.
Categories
About Sabre
We've rebuilt our entire business around one thing: your success. Whether you're looking to break free from closed systems, tap into agentic AI, or build the next wave of travel innovation, we're the technology partner in your corner. Guiding, challenging, and championing you all the way to greater success. Let's get going.