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Data Scientist - Generative AI - Job Opportunity at Airbus India Private Limited

Bengaluru, India
Full-time
Mid-level
Posted: March 25, 2025
Hybrid
USD 80,000 - 120,000 annually based on Bangalore market rates for specialized AI roles in multinational aerospace companies

Benefits

Flexible working arrangements for innovation
Extensive dedicated training programs
International travel opportunities
Diverse and collaborative work environment
Career development pathways within global aerospace

Key Responsibilities

Lead development and deployment of enterprise-scale generative AI applications with focus on LLMs and RAG systems
Architect and implement advanced prompt engineering strategies for optimizing LLM performance across business units
Design and maintain scalable data pipelines for AI model training and evaluation
Drive cross-functional collaboration to integrate AI solutions into mission-critical aerospace applications
Establish organizational best practices and standards for generative AI development
Provide technical leadership and knowledge transfer across teams

Requirements

Education

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field

Experience

Professional level experience with LLMs and RAG systems

Required Skills

Large language models (LLMs) Retrieval augmented generation (RAG) Prompt engineering Python PyTorch or TensorFlow LangChain Cloud computing platforms (AWS, GCP, Azure) Technical communication
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Sauge AI Market Intelligence

Industry Trends

Aerospace industry is rapidly adopting generative AI for design optimization, documentation management, and knowledge extraction from legacy systems Growing emphasis on RAG systems indicates a shift towards combining enterprise knowledge bases with LLMs for enhanced accuracy and context-awareness Increased focus on responsible AI development in regulated industries like aerospace

Role Significance

Likely part of a specialized AI team of 5-8 members within larger IT organization of 50+ personnel
Mid to senior technical position with significant influence on AI strategy and implementation across Airbus Information Management

Key Projects

Enterprise knowledge management systems leveraging RAG Documentation automation and intelligent search systems Process optimization through LLM integration Cross-departmental AI solution deployment

Success Factors

Deep understanding of both theoretical and practical aspects of generative AI Ability to bridge technical complexity with business requirements Strong collaboration skills across global teams Experience with enterprise-scale AI deployment Understanding of aerospace industry compliance requirements

Market Demand

Very high demand with limited talent pool, particularly for candidates combining generative AI expertise with aerospace domain knowledge

Important Skills

Critical Skills

Deep expertise in LLMs and RAG systems is essential for developing context-aware AI solutions Strong Python and framework knowledge needed for production deployment Cloud platform expertise critical for scalable AI infrastructure

Beneficial Skills

Experience with MLOps practices enhances deployment efficiency Multi-modal AI knowledge valuable for future project expansion Open-source contributions demonstrate innovation capability

Unique Aspects

Rare opportunity to work on generative AI in aerospace context
Access to extensive proprietary data and use cases
Global impact through enterprise-wide AI initiatives
Balance of innovation with strict industry regulations

Career Growth

2-3 years in role before advancement, depending on project success and organizational growth

Potential Next Roles

Lead AI Architect Technical Program Manager - AI Head of AI Innovation Chief AI Officer

Company Overview

Airbus India Private Limited

Global aerospace leader with strong focus on digital transformation and AI innovation

Leading position in commercial aviation with expanding digital capabilities
Strategic expansion of AI capabilities in India, leveraging local talent pool
Innovation-focused environment with strong emphasis on collaboration and continuous learning
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