Ml Engineer Senior - Genai Solutions

Ntt Data Italia; Salerno; On-site; EUR 90,000 - 130,000; Full time

Job summary

NTT DATA Italia cerca un Senior Machine Learning Engineer per collaborare con Data Scientists e ML Engineers su iniziative avanzate di ML e Generative AI.

Con esperienza in deployment su Azure/GCP e architetture on-prem, contribuirai a modelli, pipeline e integrazione di soluzioni innovative, gestendo progetti e interfacciandoti con stakeholder a livello internazionale.

Qualifications

• Almeno 5 anni di esperienza in Data Science o Software Engineering in produzione.
• Conoscenze approfondite di matematica, probabilità, statistica e algoritmi.
• Almeno 6/12 mesi di esperienza in Generative AI e architetture di deployment.
• Conoscenza di database vettoriali è apprezzata.
• Comprensione di data structures, data modeling e architettura software.
• Fluente in Python, Scala, Java o C++.

Responsibilities

• Applicare Generative AI in Azure/GCP e architetture GenAI on-premise.
• Supportare lo sviluppo di modelli e pipeline ML dall'ideazione al deployment.
• Gestire progetti e guidare ML Engineers.
• Interagire con stakeholder per identificare opportunità di business.
• Creare data pipelines end-to-end, dallo sviluppo alla produzione.

Skills

Python

Scala

Java

C++

ML pipelines

MLOps

Spark

Databricks

Snowflake

Cloud platforms

Team leadership

Tools

Keras

PyTorch

CI/CD tooling

Containerization

Snowflake

Job description

Questa posizione è in NTT Data Italia

Il processo di selezione sarà interamente gestito NTT Data Italia.

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As 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 MLOps
• Leverage a strong mathematical background
• Work on classification, information retrieval, clustering and optimization problems
• Establish scalable, efficient and automated processes for large-scale data analysis
• Contribute to model development, model validation and model implementation
• Identify business opportunities
• Design and create new data pipelines from scratch, from experiments to production deployment
• Manage multiple projects
• Lead ML Engineers
• Connect with stakeholders

The ideal profile

• At 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 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 clients

Location:

Milano, Bari, Bologna, Cosenza, Napoli, Pisa, Roma, Torino

Build 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!

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