Asks for

The ad says“Deep knowledge of math, probability, statistics and algorithms;”
The ad says“Apply hands-on Generative AI capabilities, preferably on Azure/GCP and on‑premise GenAI architectures and MLOps”
The ad says“Fluent in a at least two mainstream programming language (Python, Scala, Java, C++);”
The ad says“Experience with deployment including knowledge of CI/CD, containerization, and related concepts with a focus over MLops/Re-Training/Drift Management;”
The ad says“Work on classification, information retrieval, clustering and optimization problems”
The ad says“Work on classification, information retrieval, clustering and optimization problems”
The ad says“Experience with deployment including knowledge of CI/CD, containerization, and related concepts with a focus over MLops/Re-Training/Drift Management;”
The ad says“Establish scalable, efficient and automated processes for large-scale data analysis”
The ad says“Understanding of data structures, data modeling and software architecture;”
The ad says“Design and create new data pipelines from scratch, from experiments to production deployment”
The ad says“Understanding of data structures, data modeling and software architecture;”
The ad says“Experience with deployment including knowledge of CI/CD, containerization, and related concepts with a focus over MLops/Re-Training/Drift Management;”
The ad says“Apply hands-on Generative AI capabilities, preferably on Azure/GCP and on‑premise GenAI architectures and MLOps”
The ad says“Apply hands-on Generative AI capabilities, preferably on Azure/GCP and on‑premise GenAI architectures and MLOps”
The ad says“Work on classification, information retrieval, clustering and optimization problems”
The ad says“Fluent in a at least two mainstream programming language (Python, Scala, Java, C++);”
The ad says“Deep knowledge with machine learning frameworks (such as Keras or PyTorch);”
The ad says“Leverage a strong mathematical background”
The ad says“Apply hands-on Generative AI capabilities, preferably on Azure/GCP and on‑premise GenAI architectures and MLOps”
The ad says“Contribute to model development, model validation and model implementation”
The ad says“Contribute to model development, model validation and model implementation”
The ad says“Contribute to model development, model validation and model implementation”
The ad says“Work on classification, information retrieval, clustering and optimization problems”
The ad says“Deep knowledge of math, probability, statistics and algorithms;”
The ad says“Fluent in a at least two mainstream programming language (Python, Scala, Java, C++);”
The ad says“Deep knowledge with machine learning frameworks (such as Keras or PyTorch);”
The ad says“Fluent in a at least two mainstream programming language (Python, Scala, Java, C++);”
The ad says“Understanding of data structures, data modeling and software architecture;”
The ad says“Deep knowledge of math, probability, statistics and algorithms;”

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 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 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!

Asks for

Values