Senior Machine Learning Engineer
50.000 €Intesa Sanpaolo Group
.
Overview
Nell'area Data & Artificial Intelligence Office, nella struttura di A.I. Delivery Center, ti occuperai della progettazione, sviluppo, rilascio e manutenzione di soluzioni di Machine Learning, Generative AI e Agentic AI. Lavorerai a stretto contatto con machine learning engineers, data scientists, esperti di dominio, project manager e altre fabbriche applicative.
Contribuirai all'integrazione delle pratiche di AI Assisted Coding e AgenticOps nei processi di sviluppo, favorendo l'evoluzione delle modalità operative del team. Supporterai inoltre l'adozione di piattaforme dati e AI, come Databricks, e svilupperai servizi trasversali a supporto di diversi progetti verticali.
Quali saranno le tue attività
- Utilizzerai strumenti di programmazione assistita dall'AI nei processi di sviluppo, contribuendo anche alla loro diffusione e standardizzazione all'interno dei diversi team.
- Sfrutterai piattaforme dati e AI, come Databricks, per sviluppare i progetti, favorendone al contempo l'adozione.
- Progetterai e svilupperai servizi AI trasversali, a supporto delle esigenze comuni dei progetti verticali.
- Parteciperai alle diverse fasi dei progetti di ML, GenAI e Agentic AI, dalla definizione delle architetture alla prototipazione, dall'ingegnerizzazione delle pipeline dati al deploy delle soluzioni in produzione, fino all'ottimizzazione del codice e alla manutenzione.
Chi stiamo cercando
Se hai le seguenti caratteristiche, ti stiamo aspettando:
- Almeno 5 anni di esperienza nell'ambito dei progetti AI.
- Laurea in Intelligenza Artificiale, Informatica, Ingegneria Informatica, Matematica, Data Science, Statistica, Fisica o relativi ambiti quantitativi.
- Eesperienze di sviluppo dei progetti AI in Python (es. pipeline dati con pandas, modelli di machine learning con scikit-learn, sistemi agentici con LangGraph o ADK).
- Esperienze in DevOps ed MLOps.
- Utilizzo di strumenti di sviluppo assistito dall'AI (es. Claude Code, Codex, Antigravity, GitHub Copilot, Cline, OpenCode).
- Databricks
- Fluent in lingua italiana e inglese.
Rappresentano un titolo preferenziale, le seguenti conoscenze:
- Java
- PostgreSQL
- MongoDB
- Kubernetes
- Red Hat OpenShift
- Google Cloud Platform
- Microsoft Azure
- Spark
- Kafka
Cosa ti offriamo
- Retribuzione annua lorda a partire da 50.000 €
- Il Gruppo prevede una componente variabile della remunerazione così come disciplinata dalle Politiche di Remunerazione consultabili sul sito di Gruppo
- Elementi complementari disciplinati dal Contratto Collettivo Nazionale Credito e accordi aziendali di secondo livello
- Iniziative di sviluppo professionale a supporto della crescita delle nostre persone
- Ampia offerta formativa tramite la Corporate Academy dedicata allo sviluppo continuo delle competenze professionali, manageriali e trasversali a tutti i livelli
Possibilità di aderire al lavoro flessibile e alla settimana corta 4x9
- Sistema moderno e integrato di welfare aziendale ( link )
- Copertura sanitaria e previdenza complementare a decorrere dall’assunzione
- Vantaggi sui prodotti e servizi bancari del Gruppo
Chi siamo
Siamo leader in Italia e uno dei principali gruppi bancari in Europa. Unisciti a noi e fai parte della nostra storia di successo! Con oltre 20 milioni di clienti in Italia e all'estero siamo un vero e proprio motore di crescita sostenibile con un forte impegno per l'ambiente e un impatto tangibile sulla società.
Le persone sono al centro, ce ne prendiamo cura impegnandoci nel creare una cultura inclusiva all'interno del Gruppo in cui tutti si sentano protagonisti e valorizzati.
Unisciti alla nostra realtà internazionale. Il futuro non si aspetta, si sceglie!
#sharingfuture
Garantiamo un ambiente inclusivo e di pari opportunità. Considereremo tutte le candidature a prescindere da razza, religione, orientamento sessuale, identità di genere, stato civile, età, disabilità o qualsiasi altra categoria protetta nel rispetto dei D.lgs. 198/2006, 215/03 e 216/03.
Per la valutazione delle candidature, i dati saranno utilizzati da Intesa Sanpaolo S.p.A. come Data Controller. Ti invitiamo a prendere visione dell’ Informativa Privacy dedicata.
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