We are looking for an AI & automation expert to help us build a system for retrospective data analysis and predictive content evaluation. The goal is to create an automated workflow that uses AI to filter content, extract key elements, and assess its predictive quality. This workflow will also connect with external tools and APIs to validate or reject the analyzed content. To identify the right profile for this project, the collaboration will be divided into 3 phases: Phase 1 - Technical stack proposal Define the best tools, frameworks, and infrastructure to collect, process, analyze, and visualize data. Justify your choices in terms of scalability, automation, and cost-efficiency. Phase 2 - First MVP (core feature) Implement a limited MVP to validate both the technical approach and the collaboration fit. Phase 3 - Full project development Build the complete MVP, then extend it into a fully operational system. Later, handle integration, optimization, and long-term maintenance. Beyond technical skills, we value an engineer who can analyze, suggest improvements, and guide the project forward. Deliverables Phase 1 – Technical stack proposal (Test Mission) - Document describing the recommended technical stack (tools, frameworks, APIs, databases, infrastructure) required to create and run the system. - Clear methodology for each workflow stream (data collection, processing, analysis, visualization). - Justification of choices based on scalability, automation, and cost-efficiency. Phase 2 – Core MVP (Validation Mission) - Implementation of a first MVP focusing on the core feature: content processing and analysis, demonstrating automation across these 3 steps: a) Identify which content is relevant, despite large heterogeneity in format and content type. b) Extract key elements from each relevant piece of content (texts and images). c) Determine what external data is required to validate or invalidate the prediction. Phase 3 – Full MVP & system development - Build the complete MVP of the project, integrating all required modules. - Deliver a fully automated tool that manages the entire workflow (from data ingestion to retrospective analysis and reporting). - Build the final process, ready to use and run.