Data Scientist / Ingénieur IA expérimenté (H/F)
Tasks
- Analyze business and operational requirements for AI use cases
- Build knowledge graphs and ontologies
- Collaborate with software and DevOps teams to deploy AI services
- Collect and preprocess data
- Conduct technical reviews and demos
- Design end-to-end AI solutions
- Develop agent-based AI systems
- Develop generative AI applications with LLM
- Implement RAG architectures
- Industrialize and deploy AI solutions with security and traceability requirements
- Integrate AI components into full stack applications
- Train evaluate and improve machine learning models
Perks/Benefits
Skills/Tech-stack
CUDA | ChromaDB | Deep learning | Faiss | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | MLflow | Machine Learning | Matplotlib | Milvus | NumPy | Ollama | OpenAI API | Pandas | Probability | PyTorch | Python | RAG | Scikit-learn | Seaborn | Statistics | StatsModels | Streamlit | Supervised Learning | TensorFlow | Transformers | Unsupervised Learning | VLLM
Education
Regions
Countries
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