Ml Engineer Senior - Genai Solutions

Ntt Data; Lazio; Ibrido; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

NTT DATA cerca un Senior Machine Learning Engineer per collaborare con Data Scientists, Data e ML Engineers su iniziative avanzate di machine learning e Generative AI. La tua contribution sarà di applicare Generative AI su Azure/GCP e architetture GenAI on‑premise, consolidando pipeline scalabili e processi automatizzati per grandi analisi di dati.

Hai un solido background matematico e supporterai lo sviluppo, la validazione e l’implementazione di modelli, gestendo più progetti e

Competenze

• Almeno 5 anni di esperienza in Data Science o Software Engineering.
• Conoscenza approfondita di matematica, probabilità, statistica e algoritmi.
• Almeno 6–12 mesi di esperienza in deployment di Generative AI.
• Conoscenza di Spark e Databricks è un forte plus; familiarità con strumenti di ML.

Mansioni

• Applicare capacità Generative AI in Azure/GCP e architetture GenAI on‑premise e MLOps.
• Sviluppare, validare e implementare modelli ML su ambienti di produzione.
• Progettare e creare data pipeline dall’esperimento fino alla produzione.
• Gestire progetti multipli e interfacciarsi con stakeholders interni ed esterni.

Conoscenze

Python

Scala

Java

C++

Spark

Databricks

Keras/PyTorch

Vector Database

Strumenti

Databricks

Snowflake

Vector Database

Descrizione del lavoro

Descrizione dell’offerta di lavoro Job ID: a1J2p000009ipd8EAAPosted: 2026-08-04Location: Milan, Roma, Turin, Napoli, Cosenza, Bari, Salerno, Bologna, ItaliaSpecialization: C++;JAVA;Python;Cloud;Scala;SparkWork Modality: Híbrido/FlexibleProcess: a072p00001MNAOTAA5Company: NTT DATAOffer DescriptionAs a Senior Machine Learning Engineer at NTT DATA, you will work alongside experienced Data Scientists, Data and ML Engineers on advanced machine learning and Generative AI initiatives.Your contribution in this role:Apply hands-on Generative AI capabilities, preferably on Azure/GCP and on‑premise GenAI architectures and MLOpsLeverage a strong mathematical backgroundWork on classification, information retrieval, clustering and optimization problemsEstablish scalable, efficient and automated processes for large-scale data analysisContribute to model development, model validation and model implementationIdentify business opportunitiesDesign and create new data pipelines from scratch, from experiments to production deploymentManage multiple projectsLead ML EngineersConnect with stakeholdersRequirementsThe ideal profileAt least 5 years of production experience working in Data Science or Software Engineering; Deep knowledge of math, probability, statistics and algorithms; At least 6/12 months of experience in Generative AI deployment and underlying architecture handling; Vector Database knowledge is well appreciated;Understanding of data structures, data modeling and software architecture; Fluent in a at least two mainstream programming language (Python, Scala, Java, C++); Experience in building an infrastructure for technical users, such as Data Scientist, ML practitioners or data consumers/producers; Strong knowledge of Spark, Databricks is a strong plus; Experience developing/deploying ML solutions in one of the public cloud platforms and on a Cross-cloud base, Snowflake knowledge is a plus; Deep knowledge with machine learning frameworks (such as Keras or PyTorch); Ability to design and implement machine learning pipelines in a production environment; Experience with deployment including knowledge of CI/CD, containerization, and related concepts with a focus over MLops/Re-Training/Drift Management; Ability to train more junior team members in multiple Machine Learning and Deep Learning concepts; Establish and maintain strong relationships with internal team members and external clientsLocation: Milano, Bari, Bologna, Cosenza, Napoli, Pisa, Roma, TorinoBuild your future with NTT DATA.Join a global company, a leader in business and technology services, that listens to your voice and recognizes the value of your work. You will collaborate with clients, partners, and colleagues from all over the world to create innovative solutions capable of making a real impact on society.Here, you will have the opportunity to develop new skills and expand your network.We are present in Italy with over 6,000 employees across our offices in Milan, Rome, Turin, Genoa, Bologna, Treviso, Pisa, Padua, Naples, Cosenza, Bari, and Salerno.Make this the place where you grow.Join us!