Sabre Off Campus Drive 2026 is now open! Sabre, an AI-native technology leader backed by one of the world’s largest travel data clouds, is actively hiring B.E/B.Tech freshers and early-career engineers for the role of Data Science Engineer at its Bangalore (Navigator Building) office. This Sabre Off Campus Drive 2026 opening focuses on building GenAI and agentic AI components on Google Cloud Platform using Vertex AI and the ADK framework. It is a strong opportunity for 2024, 2025 and 2026 batch graduates to start their careers in applied GenAI, GCP and travel-tech AI. Read on for full role details, eligibility and the direct application link.
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| Company | Sabre Corporation |
| Role | Data Science Engineer |
| Job ID | JR107837 |
| Location | Bangalore (Navigator Building), Karnataka, India |
| Eligibility | B.E / B.Tech in CS / IT or related fields |
| Batch | 2024 / 2025 / 2026 Pass-outs |
| Experience | 0 – 3 Years (Freshers welcome) |
| Salary | Not Disclosed (Competitive) |
| Employment Type | Full Time |
| Apply Mode | Online (Sabre Workday Careers) |
| Key Skills | Python, GenAI (Prompt Engineering, Embeddings, RAG), Agentic AI (ADK), GCP (Vertex AI, BigQuery, Cloud Storage, Pub/Sub, Cloud Run), APIs / SDKs |
Job Summary
Sabre Off Campus Drive 2026 – Full Job Details
About Sabre
Sabre Corporation is an AI-native technology leader, backed by one of the world’s largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold new disruptors, guiding airlines, hoteliers, travel agencies and other partners through the next age of travel retailing through intelligent, connected and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering travel businesses to retail, distribute and fulfill travel worldwide. For freshers, the Sabre Off Campus Drive 2026 is a strong launchpad into AI-native engineering in the global travel-tech industry.
Role Summary – Data Science Engineer
The Sabre Off Campus Drive 2026 Data Science Engineer is an early-career contributor focused on building and testing GenAI and agentic AI components on Google Cloud Platform using Vertex AI and ADK frameworks. The role emphasises hands-on coding, learning best practices and delivering high-quality features under guidance, while developing deep expertise in GCP and AI workflows. You will work alongside senior engineers and team leads in Sabre’s Bangalore (Navigator Building) campus on real travel-tech AI products used at global scale.
Key Responsibilities
- GenAI Workflows: Implement basic GenAI workflows — prompt engineering, embeddings and simple RAG pipelines.
- Agentic AI: Build and integrate agent tools and simple planners using the ADK framework.
- GCP Services: Work hands-on with Vertex AI, BigQuery, Cloud Storage, Pub/Sub and Cloud Run.
- Code Quality: Write clean, documented code with unit tests; participate in code reviews and apply feedback to improve quality.
- Observability: Ensure basic observability through logs, error handling and retries.
- Collaboration: Work closely with senior engineers and team leads to understand architecture and standards.
- Learning & Documentation: Attend design discussions, training sessions and knowledge-sharing forums; contribute to documentation and team wikis.
- Responsible AI: Apply Responsible AI principles — use safety prompts and content filters.
- Security: Follow security guidelines for IAM roles, secret management and data handling.
Required Technical Competencies
- GenAI Basics: Prompt engineering, embeddings, simple RAG concepts.
- Agentic AI Basics: Agent loops, tool integration, memory fundamentals.
- GCP Services: Vertex AI, BigQuery, Cloud Storage, Pub/Sub.
- Coding: Proficiency in Python; familiarity with APIs and SDKs.
Qualifications
- Education: B.E / B.Tech in Computer Science, IT or related fields.
- Batch Year: 2024 / 2025 / 2026 graduating batches.
- Experience: 0 – 3 years in software / data engineering or ML development.
- AI/ML & Cloud: Exposure to AI/ML concepts and cloud platforms — preferably GCP.
- Coding & Mindset: Strong coding fundamentals and eagerness to learn GenAI and agentic patterns.
Outcomes & KPIs
- Delivery: Assigned tasks completed on time with minimal defects.
- Learning: Demonstrates measurable growth in GenAI and agentic competencies.
- Collaboration: Actively participates in code reviews and team discussions.
Selection Process
The Sabre Off Campus Drive 2026 selection process for the Data Science Engineer role typically follows these rounds:
- Round 1 – Resume Screening: Shortlisting based on academics, AI/ML projects and Python / GCP exposure.
- Round 2 – Online Assessment: Coding test covering Python, basic ML, SQL and problem-solving.
- Round 3 – Technical Interview: Deep dive on GenAI / agentic AI concepts, GCP services and projects with Sabre engineers.
- Round 4 – HR / Managerial Interview: Behavioural round covering communication, career goals and culture fit.
Salary & Benefits
Sabre has not publicly disclosed the exact salary for this Data Science Engineer role. As a global travel-tech leader, Sabre offers competitive compensation aligned with industry standards for fresher AI/ML and data engineering roles, along with structured learning, mentorship from senior engineers, exposure to mission-critical AI products at global scale, and a strong long-term career path in AI-native engineering.
How to Apply for Sabre Off Campus Drive 2026
- Click the “Apply Now” button below to visit the official Sabre Workday careers page.
- Review the complete job description for the Data Science Engineer role (Req ID JR107837).
- Create a candidate profile or log in if you already have one.
- Fill in the application form with your academic, internship and AI/ML project details.
- Upload your latest resume in PDF format highlighting Python, GenAI and GCP projects.
- Submit the application and note the reference number for follow-up.
Note: freshershunt.in is a job information platform. We are not the recruiter. Always verify details on the official Sabre careers page before applying.
Frequently Asked Questions – Sabre Off Campus Drive 2026
Q1. Who is eligible to apply for Sabre Off Campus Drive 2026?
B.E / B.Tech graduates in Computer Science, IT or related fields from the 2024, 2025 or 2026 batches with 0 – 3 years of experience in software / data engineering or ML are eligible. Exposure to AI/ML concepts and cloud platforms (preferably GCP) along with strong Python fundamentals is required.
Q2. What is the salary offered in Sabre Off Campus Drive 2026?
Sabre has not publicly disclosed the exact salary for this Data Science Engineer role. The compensation is competitive and aligned with industry standards for fresher AI/ML and data engineering roles at global travel-tech firms.
Q3. What is the job location for the Data Science Engineer role?
The Data Science Engineer role under Sabre Off Campus Drive 2026 is based at Sabre’s Bangalore (Navigator Building) campus, Karnataka, India. It is a full-time onsite role.
Q4. What is the selection process for Sabre Off Campus Drive 2026?
The Sabre Off Campus Drive 2026 selection process includes resume screening, an online assessment on Python / ML / SQL, a technical interview focused on GenAI / agentic AI / GCP, and a final HR interview.
Q5. What is the last date to apply for Sabre Off Campus Drive 2026?
The exact last date has not been announced by Sabre. We recommend applying as soon as possible since AI/data engineering positions at global firms fill up quickly. Click the Apply Now button above to submit your application on the official Sabre Workday portal.
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