PbGenerative AI Specialist /b /ppbr/ppCRIF, 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 ab Generative AI Specialist /b. 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. /ppbr/ppbProfile: /b /pulliPhD or Master’s Degree in statistics, applied mathematics, computer science, quantitative economics, econometrics or a similar quantitative field. /lili3+ years of experience in Data Science / AI fields /liliStrong problem-solving skills and teamwork capabilities /liliStrong communication skills /liliKnowledge of major trends and technologies in AI/GenAI /li /ulpbr/ppbHard Skills: /b /pulliExcellent knowledge of Python and common data science libraries (pandas, numpy, scikit-learn…). /liliDeep understanding of the fundamentals of statistics and machine learning (sampling theory, inference and interpretation, model validation, regression and classification techniques, etc.) /liliExperience with synthetic data generation approaches for the evaluation of AI Systems /liliExperience with prompt engineering techniques for LLMs and other generative models /liliFamiliarity with vector databases (e.g., Pinecone, Qdrant, …) and integration with AI systems, for example RAG /liliExperience working with one of the major cloud providers (AWS, GCP, Azure) /liliKnowledge of MLOps and microservices architectures /liliFamiliarity with instrument of version control (es. Git) and base knowledge of container software (Docker) /li /ul pbNice to have: /b /pulliKnowledge of deep learning libraries (Pytorch, tensorflow and keras) /liliKnowledge of AI security and safety risks, and effective mitigation strategies /liliDeep understanding of LLM post-training stages (e.g. SFT, RL, distillation) and evaluation methods /li /ulpbr/ppLocation: Rende /ppbr/ppCrif is committed to creating a diverse, inclusive work environment and promoting equal opportunities during the employee life cycle. /ppWe aim to attract and retain the best people and embracing gender, age, culture, religion and disability diversity. /p