Ai Engineer

Overview

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 an AI Engineer.

Responsibilities

• Design, development, and deployment of Artificial Intelligence and Generative AI solutions supporting core products and business processes.
• Close collaboration with cross‑functional teams (data engineering, product, business, IT) and international stakeholders.
• Full AI solution lifecycle: from requirement definition and model development to production deployment and performance monitoring.
• Contribution to continuous improvement of AI methodologies, standards, and best practices.
• Support the definition of functional and technical requirements for AI solutions.
• Support experimentation activities, Proofs of Concept, and industrialization of AI solutions.
• Collaborate with data engineering and platform teams to integrate models into existing systems.
• Work closely with business stakeholders to translate operational needs into data‑driven solutions.

Qualifications

PhD or Master's Degree in computer science, engineering, applied mathematics, statistics, or a similar quantitative field.

4+ years of experience in Data Science, AI Engineer, or AI fields.

Strong problem‑solving skills and teamwork capabilities.

Strong communication skills.

Hard Skills

• Strong proficiency in Python.
• Experience with ML/DL libraries (e.g. scikit‑learn, TensorFlow, PyTorch or equivalent).
• 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, etc.) and integration with AI systems, for example RAG.
• Experience working with one of the major cloud providers (AWS, GCP, Azure).
• Knowledge of DevOps / MLOps and microservices architectures.
• Familiarity with version control tools such as Git and basic knowledge of container software (Docker).
• Ability to support integration of AI models into production pipelines.

Nice to have

• 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.
• Use of notebooks and collaborative environments (e.g. Databricks or similar platforms).

Location

Bologna o Milano

EEO Statement

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 embrace gender, age, culture, religion, and disability diversity.