Ai-Ready Data Products For Manufacturing Data Spaces
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TXT e-Tech, società del Gruppo TXT, è alla ricerca di una figura per un progetto di stage curriculare per tesi.
La tesi/stage esplora la progettazione e prototipazione di AI-ready Data Products per Manufacturing Data Spaces nel contesto del progetto AeroMES-AI.
Saranno analizzate e integrate tecnologie open-source come Eclipse Tractus-X ed EDC, affrontando aspetti di data quality, metadata, semantica e provenance.
Il lavoro porterà alla realizzazione di un Proof of Concept in cui dati industriali provenienti da sistemi quali MES e PLM vengono preparati e condivisi in modo governato attraverso un Data Space per essere consumati da servizi AI forniti da TXT.
Principali Reponsabilità:
Analisi e progettazione di AI-ready Data Products per Manufacturing Data Spaces;
Studio e integrazione di Eclipse Tractus-X/EDC;
Sviluppo Java di componenti Data Space;
Definizione di metadata, semantica, data quality e provenance;
Realizzazione di un Proof of Concept per la pubblicazione e il consumo sicuro di dati industriali da parte di servizi AI;
Integrazione e validazione con un caso d'uso del progetto AeroMES-AI.
Formazione:
Laurea Magistrale in Computer Engineering / Computer Science (preferibilmente con orientamento: Java Backend + Cloud/Distributed Systems + Data Engineering).
Soft Skills:
Pensiero analitico, capacità di problem solving, curiosità e propensione all'apprendimento di tecnologie emergenti, capacità di lavorare in team e di comunicare efficacemente, proattività, autonomia e approccio pragmatico alla ricerca e alla prototipazione.
E' richiesta piena padronanza della lingua italiana e buona conoscenza della lingua inglese
Lo stage curriculare ha una durata di 6 mesi, sono previsti ticket restaurant dal valore di 7 euro.
Modalità Ibrida: 2 giorni in sede a Cologno e 3 in smart working.
Posizione aperta a candidature senza distinzione di genere, ai sensi del D.Lgs.
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