10 ott - Conscenti
Generali Group
In 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. La preghiamo di leggere attentamente la panoramica e i requisiti per questa occasione di lavoro riportati di seguito.
~ Smart working and flexible hours
~ Corporate welfare system
~ Supplementary health insurance
~ Training and development
~ Perform independent validation and challenge of AI/ML and agentic/Generative AI systems across the full lifecycle, including data quality and performance metrics
~ Align validation practices with regulations (e.g., EU AI Act) and internal guidelines, translating requirements into processes and controls
~ Identify key risks (bias, explainability, compliance) and define validation controls and mitigations
~ Define and implement continuous monitoring and alerting for production AI systems (drift, emerging GenAI risks)
~ Ensure ongoing lifecycle compliance, including periodic re-validation
~ Design reusable functionalities to enable scalable governance and monitoring
~ Collaborate with data scientists, engineers, and stakeholders as a second line of defense
~ Maintain robust documentation and support audits, contributing to standards and best practices
~ Strong expertise in ML, GenAI and agentic AI, with knowledge of lifecycle frameworks and governance practices
~ Provide hands-on design, validation, and testing contributions in pipelines and prototypes
~4–7+ years of experience in AI/ML validation, model risk, or AI governance in regulated environments
~ Advanced Python programming skills with experience
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