- Strong proficiency and hands-on experience in the Avionics / Aerospace domain.
- Working experience with Large Language Models (LLMs) / Generative AI.
- Good understanding of AI/ML concepts and LLM-based applications.
- Experience with Python and/or other programming languages.
- Knowledge of Prompt Engineering, RAG, embeddings, vector databases, and LLM
APIs are preferred.
- Understanding of avionics software development, testing, verification, or systems
engineering.
- Familiarity with aerospace standards such as DO-178B/DO-178C, DO-254,
ARP4754A, or ARP4761 is an added advantage.
- Robust analytical, problem-solving, and communication skills.
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