Accelerator Data Science (Paris)
Tasks
- Apply machine learning statistics forecasting optimization to AI projects
- Build machine learning models algorithms simulations experiments
- Collaborate with developers engineers and MLOps to deploy AI ML solutions
- Deliver AI based data products using analysis visualization storytelling
- Develop production ready AI models from ML experiments
- Gather organize analyze complex data to propose data models
- Translate business requirements into technical needs
Perks/Benefits
- Collaborative environment
- Health and wellbeing benefits
- Parental leave
- Prevention and wellness programs
Skills/Tech-stack
Agent systems | Agentic Frameworks | Artificial Intelligence | Data Analysis | Data Modeling | Data Visualization | Deep learning | Embeddings | Few-Shot Learning | Few-shot | Fine Tuning | Forecasting | Knowledge graphs | LLM Evaluation | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | NLP | Natural Language | Natural Language Processing | Optimization | Prompt engineering | RAG Pipelines | Retrieval-Augmented Generation | Semantic Retrieval | Semantic Search | Statistics | Tokenization | Transformer Architectures | Zero-Shot | Zero-shot Learning
Education
Roles
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