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.