Artificial Intelligence Engineer
Pubblicato il 08-09-2026 - reale group in Lazio
pstrongReale ITES /strong, nata l'1 gennaio ****, rappresenta per il Gruppo Reale Mutua la prima esperienza di realtà transnazionale e ha l'obiettivo di essere un centro di competenza specializzato nei servizi IT, come è sintetizzato nell'acronimo ITES che corrisponde a Information Technology Engineering Services.
Una realtà che nasce dall'idea di mettere insieme uomini e donne di Italia e Spagna per creare una piattaforma unica informatica e sfruttare tutte quelle sinergie che sono necessarie per un gruppo, come il Gruppo Reale Mutua.
/ppNella realtà lavorativa l'IT è diventata per tutte le aziende un fattore di forte competitività e la missione di Reale ITES è quella di riuscire a migliorare i processi informativi, fornire possibilità operative semplici e veloci, aumentare l'efficienza e l'efficacia dei processi, allo scopo di dare al cliente finale un prodotto eccellente e al Gruppo un elemento vantaggioso in più.
/ppbr / /ppstrongObjective: /strong /pulliWorks with data scientist, data engineer and data architect in order to authomatize, optimize and scale data products to ensure the industrialization and the performance of algorithms.
/li /ulpbr / /ppstrongResponsibilities: /strong /pulliWorks with stakeholders to formulate code approaches to solve problems using algorithms and data sources in context of customer, engineering, and business needs.
/liliWill use data exploration techniques to discover new opportunities or to find the best performance.
/liliWill interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve the data product.
/liliWill engage with stakeholders to produce clear, compelling, and actionable insights that influence product and service improvements that will impact customers.
/liliWill also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of the data product.
/liliWill participate together with the DevOps team in choosing the best operational architecture.
/liliWill monitor the performance of ML models and implement the best technological solution within the operational architecture.
/li /ulpbr / /ppstrongQualifications: /strong /pulliDegree in Computer Science, Statistics, Mathematics, Economics, or similar.
/lili2+ year of engineering experience using large data systems on SQL, Hadoop, Spark, etc.
/lili2+ year of experience using one or more programming or scripting language like Python, Scala, or C# to work with data.
/lili2+- year of experience using tools like Python, R, MATLAB, AMPL, SAS, or other relevant data science tools/environments.
/liliExperience with development tools like DevOps.
/liliExperience with data integration tool like Azure Data Factory and Azure Mapping Dataflow /liliExperience with data transformation tool like Azure Databricks /liliExperience with machine learning tool like Azure Machine Learning /liliExperience with deploying tool like Dockers and Kubernetes /liliExperience in developing REST API in Azure Environment /liliFamiliarity with data visualization tool like PowerBI /liliFluent written and spoken English.
/li /ulpbr / /ppKnowledge and experience with key data science areas such as machine learning, deep learning, anomaly detection, predictive analysis, text analysis, exploratory data analysis, and other areas of data science: /pulliExperience performing data analysis including applying statistics.
/liliAbility in verbal and written communication skills presenting to large and small audiences.
/liliAbility to interact with peers and stakeholders to define and drive product and business impact.
/liliMaster in Artificial Intelligence will be preferred.
/li /ulpbr / /ppstrongModalità di lavoro: /strong ibrida, in sede Torino o Milano + 12gg di smartworking al mese /ppbr / /ppLa ricerca è rivolta ai candidati ambosessi (l.******).
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