Data Scientist (Paris)
Tasks
- Analyze large complex data to propose data models
- Apply machine learning and statistics to AI projects
- Build machine learning models and experiments with optimized code
- Collaborate with developers and MLOps to deliver AI solutions
- Deliver production-ready models
- Translate business requirements into technical needs
- Use data visualization and storytelling to scope AI products
Perks/Benefits
Skills/Tech-stack
API Integration | Agentic Frameworks | Embeddings | Few-Shot Learning | Few-shot | Fine Tuning | Forecasting | Knowledge graphs | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Optimization | Prompt engineering | Python | Retrieval-Augmented Generation | Semantic Search | Statistics | Tokenization | Transformer Architectures | Zero-Shot | Zero-shot Learning
Education
Roles
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