Generative AI SpecialistCRIF, a prestigious and innovative international group specializing in informational solutions, decision models, outsourcing, software, and consulting services to support banks, financial companies, insurance companies, utilities, and telecommunications companies, is seeking aGenerative AI Specialist. The successful candidate will join our “Global B2B Analytics” area, the centre of innvoation and excellence at CRIF that combines expertise in Data Science, Data Engineering, and Generative AI.Profile:PhD or Master’s Degree in statistics, applied mathematics, computer science, quantitative economics, econometrics or a similar quantitative field.3+ years of experience in Data Science / AI fieldsStrong problem-solving skills and teamwork capabilitiesStrong communication skillsKnowledge of major trends and technologies in AI/GenAIHard Skills:Excellent knowledge of Python and common data science libraries (pandas, numpy, scikit-learn…).Deep understanding of the fundamentals of statistics and machine learning (sampling theory, inference and interpretation, model validation, regression and classification techniques, etc.)Experience with synthetic data generation approaches for the evaluation of AI SystemsExperience with prompt engineering techniques for LLMs and other generative modelsFamiliarity with vector databases (e.G., Pinecone, Qdrant, …) and integration with AI systems, for example RAGExperience working with one of the major cloud providers (AWS, GCP, Azure)Knowledge of MLOps and microservices architecturesFamiliarity with instrument of version control (es. Git) and base knowledge of container software (Docker)Nice to have:Knowledge of deep learning libraries (Pytorch, tensorflow and keras)Knowledge of AI security and safety risks, and effective mitigation strategiesDeep understanding of LLM post-training stages (e.G. SFT, RL, distillation) and evaluation methodsLocation: RendeCrif is committed to creating a diverse, inclusive work environment and promoting equal opportunities during the employee life cycle .We aim to attract and retain the best people and embracing gender, age, culture, religion and disability diversity.