Data Scientist - AI and Machine Learning
- Design & Deploy: Create machine learning models and tailored AI solutions.
- Innovate: Fine-tune and extend Large Language Models (LLMs) including open-source and commercial models.
- Optimize: Implement Retrieval-Augmented Generation (RAG) techniques for enhanced model efficiency.
- Analyze: Perform exploratory data analysis and feature engineering to unlock better model performance.
- Build Generative AI: Develop cutting-edge models for content creation, process automation, and innovation.
- Apply Traditional ML: Utilize decision trees, SVMs, neural networks, and more to solve diverse problems.
- Collaborate: Work alongside data engineers, product managers, and stakeholders.
- Quality Assurance: Ensure high-quality AI solutions through rigorous testing and validation.
- Document & Share: Maintain technical documentation for knowledge sharing and reproducibility.
Your Must-Have Skills:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- 3+ years of hands-on experience in machine learning and AI development.
- Strong expertise in Generative AI (model training, fine-tuning, and deployment).
- Experience with open-source and commercial LLMs.
- Proficiency in implementing RAG techniques.
- Fluency in English (C1 level or higher) is mandatory.
- Willingness to learn French.