Client case for BNP ITG
Experimentation and Industrialization of AI Projects
Location
Paris
Project's functional area
Experimentation and industrialization of innovative AI projects, including project assessment phases and implementation within the BNPP ITG Cloud infrastructure. Contribution to the IDEA AI Technology Roadmap.
Technological environment
Deep Learning / NLP
Docker / Kubernetes / MLflow / Python
Open-source LLM prompting (LLaMA, Mistral) applied to business use cases and domain-specific data
RAG: experience in implementing Retrieval-Augmented Generation using similarity search and Graph RAG
Deployment of LLM inference servers: TGI / vLLM
Docker / Kubernetes / MLflow / Python
Open-source LLM prompting (LLaMA, Mistral) applied to business use cases and domain-specific data
RAG: experience in implementing Retrieval-Augmented Generation using similarity search and Graph RAG
Deployment of LLM inference servers: TGI / vLLM
Methodology
SCRUM
Detailed description of the project
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Support brainstorming and ideation workshops to identify user pain points
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Definition of AI solutions aligned with user needs
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Coordination of experimentation of new solutions with users
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Agile work to iteratively adapt prototypes
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Definition of the target architecture
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Collaboration with various ITG experts
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Support for the integration of solutions into the BNPP ITG infrastructure
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Proactive and solution-oriented approach