Artificial Intelligence for Flight Control Laws Internship

Airbus Helicopters — Bangalore Area

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 Key Responsibilities Knowledge Engineering: Load, structure, and integrate historical document databases and discussion records into a centralized AI environment.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 Data Engineering: Skills in structuring unstructured data from historical documents into a searchable, machine-readable format.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 t

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