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- Experience with working with AI tools and their practical application in user segmentation
- Strong understanding of AI agent architectures and their implementation in enterprise environments
- Knowledge of analysis and behavioural modelling techniques for user profiling
- Ability to optimise and evaluate behavioural model quality
- Using FAIR standards
- Ability to create data governance principles and lifecycle
- Experience working with data stewards and creating procedures for them
- Knowledge of data security considerations specific to AI agents that can access multiple systems
- GDPR knowledge for personal data protection and processing
- Creating and executing an observability strategy for user profiling with tailored metrics
- Ability to select the proper data sources for tracking user behaviour
- Experience implementing Grafana and Enterprise Search (Sinequa), including architectural review of requirements, POC for production deployment
- Ability to design and deploy E2E monitoring solutions in live environments with multiple integrated systems
- Knowledge of protocols and methods for collecting metrics, logs and traces (OpenTelemetry)