Data scientist

Are you a Data Scientist passionate about building cutting-edge AI/ML solutions? Do you thrive on solving complex problems and pushing the boundaries of what's possible with AI? If yes, we want you on our dynamic and innovative team! With over 3 years of hands-on experience, you'll lead the way in developing and optimizing state-of-the-art AI algorithms, including Generative AI models.

• Create machine learning models and tailored AI solutions.
• Fine-tune and extend Large Language Models (LLMs) including open-source and commercial models.
• Implement Retrieval-Augmented Generation (RAG) techniques for enhanced model efficiency.
• Perform exploratory data analysis and feature engineering to unlock better model performance.
• Develop cutting-edge models for content creation, process automation, and innovation.
• Utilize decision trees, SVMs, neural networks, and more to solve diverse problems.
• Work alongside data engineers, product managers, and stakeholders.
• Ensure high-quality AI solutions through rigorous testing and validation.
• Maintain technical documentation for knowledge sharing and reproducibility.

• 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.
• Experience with vector databases.
• Advanced programming skills in Python with frameworks like TensorFlow, PyTorch, and Hugging Face.
• Deep understanding of NLP techniques and architectures.
• Practical experience with traditional AI/ML methods such as decision trees, SVMs, clustering, and neural networks.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for AI/ML deployments.
• Knowledge of MLOps practices and tools.
• Strong problem-solving and analytical skills.
• Effective communication in public and teamwork skills.
• Fluency in English (C1 level or higher) is mandatory.
• Willingness to learn French.
• Будет плюсом: Knowledge of reinforcement learning from human feedback (RLHF); Familiarity with prompt engineering; Understanding of ethical AI principles and model interpretability; Fluency in French is a plus

• Work at the forefront of AI and machine learning innovation in a big European financial group.
• Collaborate with experts in data science, AI, and product development.
• Build impactful solutions that solve real-world challenges.