L’offerta in breve

Intesa Sanpaolo: Junior Machine Learning Engineer. Lavoro in sede in Italia, a Torino - Milano. Livello: junior. Retribuzione dichiarata: a partire da €35.6k. Tecnologie indicate: Python, Databricks, Postgres, MongoDB, Kafka, Spark, GCP, Azure, Kubernetes, scikit-learn, Anthropic.

Responsabilità e requisiti sono riportati nel riepilogo editoriale qui sotto, nella lingua disponibile. Verifica i dettagli nell’annuncio dell’azienda prima di candidarti.

Sul ruolo

Intesa Sanpaolo is hiring a Junior Machine Learning Engineer for its AI Delivery Center, based in Torino and Milano. You will design, develop, release and maintain Machine Learning, Generative AI and Agentic AI solutions, working closely with machine learning engineers, data scientists, domain experts and project managers. The role also involves integrating AI Assisted Coding and AgenticOps practices into development workflows and supporting the adoption of data and AI platforms such as Databricks.

Day to day, you will use AI-assisted programming tools, build cross-cutting AI services for vertical projects, and take part in every stage of ML, GenAI and Agentic AI delivery, from architecture definition and prototyping to data pipeline engineering, production deployment, code optimisation and maintenance. The team is part of the.

Highlights

Junior role with 1 to 3 years of AI project experience required.
Work across ML, Generative AI and Agentic AI, from architecture to production.
Python stack including pandas, scikit-learn, LangGraph or ADK, plus DevOps and MLOps.
Gross annual salary starting from 35,650 EUR, with flexible work and a 4x9 short week option.

Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.