14 ott - Palermo
Generali Group
pIn this role you lead AI validation and governance across traditional ML and GenAI/agentic AI, shaping the group’s model risk framework. You provide independent oversight through the full AI lifecycle and stay hands-on with design, validation, and testing. You work with data scientists and engineers to build reusable governance and monitoring tooling, ensuring robust, compliant AI in business-critical contexts. This position blends strategic governance with technical delivery in a regulated environment, offering impact at scale. /pulliSmart working and flexible hours /liliCorporate welfare system /liliSupplementary health insurance /liliTraining and development /liliPerform independent validation and challenge of AI/ML and agentic/Generative AI systems across the full lifecycle, including data quality and performance metrics /liliAlign validation practices with regulations (e.g., EU AI Act) and internal guidelines, translating requirements into processes and controls /liliIdentify key risks (bias, explainability, compliance) and define validation controls and mitigations /liliDefine and implement continuous monitoring and alerting for production AI systems (drift, emerging GenAI risks) /liliEnsure ongoing lifecycle compliance,
including periodic re-validation /liliDesign reusable functionalities to enable scalable governance and monitoring /liliCollaborate with data scientists, engineers, and stakeholders as a second line of defense /liliMaintain robust documentation and support audits, contributing to standards and best practices /liliStrong expertise in ML, GenAI and agentic AI, with knowledge of lifecycle frameworks and governance practices /liliProvide hands-on design, validation, and testing contributions in pipelines and prototypes /lili4–7+ years of experience in AI/ML validation, model risk, or AI governance in regulated environments /liliAdvanced Python programming skills with experience in pandas, scikit-learn, LightGBM /liliAbility to develop clean, modular, maintainable code with emphasis on reproducibility and quality /liliAutonomy and proactivity with regulatory awareness (EU AI Act), explainability tools, and modern AI architectures /liliItalian and English working proficiency /liliAnalytical thinking, risk mindset, strong communication, ability to challenge assumptions, strong documentation /liliAbility to work independently and in a team with diverse mindsets /liliMultitasking and deadline management /liliWillingness to learn and tackle complex topics /lilianalytical thinking /liliclear communication /liliadvanced Python (OO design) /li /ul #J-18808-Ljbffr
14 ott - Milano
Idro 2000
14 ott - Ciriè
Filippo
14 ott - Udine
Gruppo Danieli
14 ott - Nova milanese
New Age