We are looking for a brilliant, dynamic and experienced RAG / LLMs Data Scientist h / f to join our Multi-INT Assets Development team in Elancourt. He / she will be integrated in a group gathering scientists, artificial intelligence experts and data engineers who daily bridge the gap between R&T and R&D in the domain of Intelligence analytics for external customer as well as internal Airbus products.
Missions :
- The RAG / LLMs Data Scientist will contribute to the following activities :
- Track, develop, maintain and communicate a state-of-the-art expertise (scientific and technical) on artificial intelligence technologies applied to automatic or assisted extraction and management of information from visual, textual and audio sources in a big data context.
- Ensure handover of upstream technologies to portfolio products and development teams and directly participate to their integration through software developments in the perimeter of backend micro-services and / or frontend interactions with users.
- Help to define the strategy and guidelines on RAG / LLMs topic on multiple domain (Multi-Intelligence, Command & Control and Air Superiority).
- Lead the reuse topic of RAG / LLMs approaches as a future technical lead.
- Foster innovation on multisource analytics by actively participating in customer and co-founded projects in a context of agile software development, key assets packaging and reusing and data governance rules enforcement.
Requirements :
- We are looking for a curious, autonomous, communicating and intrapreneur profile mastering the following skills with first experiences :
- Artificial intelligence technologies applied to Data Fusion and / or NLP and / or computer vision - Master Degree or Engineer school level.
- 2 years of professional experience in R&T / R&D department in AI on Deep Learning and RAG / LLMs approaches.
- Associated data science software development competencies (Python, Deep Learning frameworks, LLMs, RAG, algorithm complexity and optimisation).
- Associated data engineering software development competencies (Docker, NiFi, Kubernetes, Java, Angular) would be a plus.
- Experience in Defense (in particular Intelligence and Command & Control) with their specific constraint would be a great plus.
- Fluently speaking French and advanced in English (daily working language).
We are looking for a team worker, curious, capable of organizing and synthesizing, able to work from somebody else’s work, compliant with time constrained objectives, ready to propose innovative ways to tackle problems. A great part of the mission is linked to relationships with colleagues through use case definition, co-development and demonstrations: this is the reason why we expect good communication skills.
Company: Airbus Defence and Space SAS
Employment Type: Entry Level
Job Family: Digital
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