Posizione
Core activities:
Design and implement web scraping pipelines for automated competitive data collection from various online sources;
Develop and structure a centralized knowledge base for organizing market intelligence information;
Integrate and optimize Large Language Models to create an intelligent conversational interface;
Implement Natural Language Processing algorithms for analyzing and extracting insights from unstructured data;
Test and validate the prototype on a target sector (Retail, Fashion, or CPG)
Document the framework architecture and achieved results.

Technologies used:
AI/ML: Large Language Models (GPT, Claude), LangChain, RAG (Retrieval Augmented Generation);
NLP: spaCy, NLTK, Hugging Face Transformers;
Database: Vector databases (Pinecone, Weaviate, ChromaDB);
Backend: Python, FastAPI/Flask;
Cloud & DevOps: AWS, Docker, Git;
Web Crawling/Scraping: Python (Beautiful Soup, Scrapy, Selenium).
Requisiti
Requisiti preferenziali- Master's or Bachelor's degree (preferably pursuing Master's) in: Computer Science, Computer Engineering, Data Science,



Artificial Intelligence, Mathematics, Statistics with computer science focus, Management Engineering with focus on AI/Data Analytics
- Essential: Python programming (intermediate/advanced level)
- Preferred: Basic knowledge of Generative AI & ML technologies
- Nice-to-have: Experience with web scraping or REST APIs
- Plus: Familiarity with Git/GitHub, SQL, and databases
- Appreciated: Basic knowledge of cloud computing (AWS/Azure)
- Understanding of Natural Language Processing concepts
- Curiosity and proactivity: strong interest in emerging AI technologies and willingness to experiment
Titolo di studioLaurea (primo livello), Laurea Magistrale/ciclo Unico (secondo livello)Area disciplinareInformatica e Tecnologie ICT, Ingegneria industriale e dell'informazione, ScientificoClasse di laureaIngegneria dell'informazione (L-8, 9)
Informatica (LM-18, 23/S)
Ingegneria informatica (LM-32, 35/S)

📌 AI-Powered Competitive Intelligence Framework with Conversational Interface (Milano)
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