🚀 Generative AI Specialist

Generative AI Specialist

CRIF, 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 a Generative 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 fields
• Strong problem-solving skills and teamwork capabilities
• Strong communication skills
• Knowledge of major trends and technologies in AI/GenAI

Hard 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 Systems
• Experience with prompt engineering techniques for LLMs and other generative models
• Familiarity with vector databases (e.g., Pinecone, Qdrant, …) and integration with AI systems, for example RAG
• Experience working with one of the major cloud providers (AWS, GCP, Azure)
• Knowledge of MLOps and microservices architectures
• Familiarity 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 strategies
• Deep understanding of LLM post-training stages (e.g. SFT, RL, distillation) and evaluation methods

Location: Bologna

Crif 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.