- Process and structure unstructured data (PDF, Word, PowerPoint, emails, CSV) in order to make them usable for Data & AI uses;
- Design, prototype and test Generative AI solutions (LLM, advanced prompting, RAG pipelines with LangChain or equivalent frameworks) to meet the needs of Finance teams;
- Develop and industrialize Machine Learning models (scikit‐learn, XGBoost) and automate the generation of documents/reports in Python;
- Contribute to the delivery of use cases for the Fins'Atlas program in close collaboration with Data Scientists, Data Engineers, and Finance teams;
- Participate in the continuous improvement of solutions (performance, robustness, quality of prompts, monitoring) and in the documentation of work.
ultime offerte
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International Atomic Energy Agency, Internship - Project Governance Process Review
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OMA, Internship Architecture
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Henkel, Internship Global Diversity, Equity & Inclusion
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VF Corporation, Assistant Merchandiser Intern
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Roche, AI Business Development Intern
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Philips, Data Analytics Graduate Internship
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Dow, Industrial Innovation Internship (R&D)
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Infineon, Internship - AI Mindset and Culture
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Lonza, Internship IBEX MSAT Validation
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