Artificial Intelligence for Flight Control Laws Internship

Job Description

Job Description:

We are seeking a highly motivated Intern to support the development and deployment of an Integrated Knowledge and Reporting Platform. This role focuses on bridging the gap between manual engineering analysis and automated, AI-driven solutions. You will work at the intersection of data science, natural language processing, and real-time data integration to enhance operational efficiency and decision-making quality.

Key Responsibilities

• Knowledge Engineering: Load, structure, and integrate historical document databases and discussion records into a centralized AI environment.
  
• AI Development: Assist in building and tuning a conversational chatbot interface capable of "real-time analysis" and automated drafting.
  
• Data Integration: Connect and ingest live, time-based data streams for automated trend and root-cause analysis.
  
• Performance Optimization: Implement and test Retrieval-Augmented Generation (RAG) techniques to ensure high-quality outputs and minimize system errors.
  
• Risk & Security: Support the deployment of solutions within secure, compliant environments, focusing on data privacy and local hosting requirements.
  

Ideally, this is a 6-month program and it should start in July 2026 (date subject to flexibility).

Required Skills & Qualifications

Technical Skills

• Data Science & AI: Proficiency in Python and Large Language Models (LLMs). Familiarity with Retrieval-Augmented Generation (RAG) is highly desirable for failure justification tasks.
  
• Time-Series Analysis: Ability to process and interpret time-based engineering data to identify trends and root causes (e.g., distinguishing between turbulence and model reaction time).
  
• Cloud & DevOps: Familiarity with Google Cloud Platform (GCP) or local GPU on-premise environments for model deployment.
  
• Data Engineering: Skills in structuring unstructured data from historical documents into a searchable, machine-readable format.
  

Domain & Soft Skills

• Aerospace Awareness: Basic understanding of control laws to assist the development team in "domain support".
  
• Analytical Rigor: Ability to perform root cause analysis and validate AI-generated content against engineering standards.
  
• Communication: Capability to work within a multidisciplinary team (Data Scientists and Control Law Engineers) to translate technical failures into sophisticated draft paragraphs.
  

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:
Airbus India Private Limited

Employment Type:
Internship
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Experience Level:
Student

Job Family:
Digital

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