We are looking for a Data Scientist with a strong passion for AI and Generative AI to join a dynamic and innovative team working on cutting-edge AI/ML solutions.With 3+ years of hands-on experience, you will play a key role in designing, developing, and optimizing advanced AI models that address real-world business challenges in a large, complex environment.Why You'll Love This RoleWork at the forefront of AI and Machine Learning innovationBuild impactful, real-world Generative AI solutionsCollaborate with experts in Data Science, AI, and Product DevelopmentContribute to high-visibility and high-impact AI initiativesKey ResponsibilitiesDesign, develop, and deploy machine learning and AI solutionsFine-tune and extend Large Language Models (LLMs) (open-source and commercial)Implement Retrieval-Augmented Generation (RAG) techniquesPerform exploratory data analysis and feature engineeringDevelop Generative AI models for content creation, automation, and innovationApply traditional ML techniques (decision trees, SVMs, clustering, neural networks)Collaborate closely with data engineers, product managers, and stakeholdersEnsure solution quality through testing, validation, and performance evaluationProduce and maintain technical documentation for knowledge sharingRequired Skills & ExperienceBachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or similar3+ years of experience in AI and Machine Learning developmentStrong expertise in Generative AI (training, fine-tuning, deployment)Experience with LLMs (open-source and commercial)Hands-on experience with RAG techniques and vector databasesAdvanced Python skillsExperience with frameworks such as TensorFlow, PyTorch, Hugging FaceStrong knowledge of NLP techniques and architecturesFamiliarity with cloud platforms (AWS, GCP, or Azure)Knowledge of MLOps practices and toolsStrong analytical, problem-solving, and communication skillsLanguage SkillsEnglish – mandatory B2Willingness to learn FrenchFrench fluency is a plusNice to HaveExperience with RLHF (Reinforcement Learning from Human Feedback)Knowledge of prompt engineeringUnderstanding of ethical AI and model interpretability