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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement an end-to-end telemetry and engineering data architecture to process flight datasets and technical documentation.
Develop an AI-powered Retrieval-Augmented Generation (RAG) system featuring query expansion, hybrid search with dense semantic and keyword filters, and semantic re-ranking.
Build an interactive UI workbench (AeroLens) enabling health engineers to query parameters, perform visual diagnostics, and conduct failure impact analysis.
Minimum Requirements
Currently pursuing a Bachelor's or Master's degree in Computer Science, Electronics & Communication, Aerospace Engineering, or related technical field.
Proficiency in Python programming.
Familiarity with Large Language Models (LLMs) and RAG architectures.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Strong interest or basic understanding of handling unstructured aerospace engineering documentation and high-volume flight telemetry datasets.
Ability to develop and optimize vector databases and hybrid search implementations.
Capable of contributing to real-world aerospace workflows within Agile engineering collaboration environments.