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Job Description
Structured overview of role & requirementsAbout This Role
Develop and implement automation solutions using Python/Java and app scripting to support the Airworthiness & Certification team.
Leverage Large Language Models (LLMs) for processing and summarizing large regulatory documents and historical modification data.
Build and maintain automated web scrapers to retrieve information from web-based tools and webpages relevant to certification processes.
Minimum Requirements
Currently pursuing a degree in Aerospace, Electrical, Electronics, Mechanical Engineering, Data Science, Computer Science, or related field.
Technical skills in Python programming with experience in Python libraries and familiarity with LLM APIs such as OpenAI or Vertex AI.
Fluency in English language.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Able to translate complex, large-scale regulatory materials into concise summaries using AI tools.
Capable of working in cross-functional teams focused on aerospace certification and automation technologies.
Comfortable operating within a research and innovation-driven environment, applying technical and analytical skills to support safety and certification objectives.