Darum lohnt es sich
YOUR ROLE The intern will contribute to the definition and implementation of a monitoring framework covering: Response quality : defining metrics (accuracy, relevance, hallucination rate), and implementing (automated) evaluation mechanisms Performance and stability : monitoring response times, error rates, availability, and robustness of agents User adoption : tracking usage, analyzing user journeys, measuring satisfaction (feedback, NPS, reuse rate) Costs and FINOps : monitoring inference and usage costs, optimizing the value‑to‑cost ratio Development environment and industrialization Tasks include: Contributing to the structuring of a standardized Sandbox environment in collaboration with IT Infrastructure teams Implementing resource variability (Outlook, SharePoint, Teams, etc.) to facilitate production deployment Writing recommendations and best practices for integration, deployment, and industrialization of agents Establishing a structured framework (metrics, dashboards, standards) Providing recommendations on architecture, processes, and development environment Producing a first version of the monitoring solution (e.g., dashboards or automated reporting) Creating guidelines for setup, configuration, and resource variability YOUR PROFILE Specialization in AI, LLMs, and production deployment challenges Comfortable with data analysis and technical environments Strong organizational skills, autonomy, and critical thinking Diversity, Equity and Inclusion As a responsible and supportive employer, we promote a diverse and inclusive work environment.
Internship - Data Scientist As part of the deployment of AI Copilot agents, we are looking to structure a monitoring framework to effectively manage their performance, quality, and adoption, while keeping associated costs under control.
Diversity, Equity and Inclusion are woven into the fabric of our organization, and we actively embed them in our business strategy. #J-18808-Ljbffr
