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Sabre

Sabre Off Campus 2026 Hiring Fresher For Data Science Engineer | Bangalore

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full-time

Job Description

The 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. This role emphasizes hands-on coding, learning best practices, and delivering high-quality features under guidance, while developing expertise in GCP and AI workflows.

Job Title : Data Science Engineer

Job Type : Full Time

Location : Bengaluru

Experience : Fresher – 3 Years

Role and Responsibility

Development & Implementation

Implement basic GenAI workflows : prompt engineering, embeddings, and simple RAG pipelines.

Build and integrate agent tools and simple planners using ADK.

Work with GCP services : Vertex AI, BigQuery, Cloud Storage, Pub/Sub, Cloud Run.

Quality & Testing

Write clean, documented code with unit tests.

Participate in code reviews and apply feedback to improve quality.

Ensure basic observability : logs, error handling, retries.

Collaboration & Learning

Work closely with senior engineers and team leads to understand architecture and standards.

Attend design discussions, training sessions, and knowledge-sharing forums.

Contribute to documentation and team wikis.

Compliance & Safety

Apply Responsible AI principles : use safety prompts and filters.

Follow security guidelines : IAM roles, secret management, and data handling policies.

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.

Education and Skills

0–3 years in software/data engineering or ML development.

Exposure to AI/ML concepts and cloud platforms (preferably GCP).

Strong coding fundamentals and eagerness to learn GenAI and agentic patterns.

Outcomes & KPIs

Delivery : Assigned tasks completed on time with minimal defects.

Learning : Demonstrates growth in GenAI and agentic competencies.

Collaboration : Actively participates in reviews and team discussions.

Demonstrated Behaviors

Execution

Delivers assigned tasks with attention to detail.

Seeks clarity and applies feedback promptly.

Learning

Shows curiosity; asks questions; adopts best practices.

Documents learnings and shares with peers.

Collaboration

Communicates effectively; works well in team settings.

Respects coding standards and security guidelines.

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