Machine Learning/Software Engineering – Development
1 mese fa
Per i creativi e razionali, che amano progettare soluzioni digitali Machine Learning/Software Engineering – Development INTESA è una società del gruppo Kyndryl con oltre trent'anni di esperienza. Progettiamo e sviluppiamo servizi digitali innovativi per creare piattaforme utili ed inclusive, utilizzando le più recenti tecnologie.
Nell'ambito del nostro percorso di crescita, siamo alla ricerca di una risorsa da inserire come Machine Learning Engineer. Il ruolo In qualità di Machine Learning Engineer sarai responsabile dello sviluppo end to end della soluzione, dalla fase di training al deploy in ambiente di produzione.
L'obiettivo del team di intelligenza artificiale è quello di sviluppare prodotti all'avanguardia che vanno dalla Computer Vision fino alle applicazioni in campo NLP.
Requisiti Richiesti Laurea in Informatica, Ingegneria Informatica o campi affini; Ottime capacità analitiche e di problem solving; 2+ anni di esperienza nella programmazione in Python; Buona conoscenza degli algoritmi di machine learning e deep learning; Propensione al lavoro in team e alla ricerca; Buona conoscenza della lingua inglese (livello B2). Competenze Aggiuntive (Nice To Have) Docker e conoscenza di architettura a microservizi; Esperienza nell'uso di modelli LLM e nell'utilizzo di Langchain; Familiarità con una o più piattaforme di cloud computing (AWS, GCP, Azure); Esperienza nell'utilizzo di database SQL e NO-SQL; Conoscenza di base dell'ambiente Linux. Cosa offriamo: Ambiente giovane e dinamico; Contratto di smart working molto flessibile; Fiducia e rispetto per idee ed opinioni: nel nostro team ognuno è libero di condividere e proporre nuove idee e soluzioni; Eventi e iniziative di community dove si avrà la possibilità di confrontarsi su progetti aziendali relativi a sostenibilità, inclusione e istruzione. Sede di appoggio: contratto di Smart Working con base a Torino
Dettagli candidatura Sede Lavoro: Torino
Impiego: Full Time
Categoria: Machine Learning
Titolo di studio richiesto: Laurea in Informatica, Ingegneria Informatica o campi affini
Livello inglese: B2
ID: 66
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