ML Engineer Senior - GenAI Solutions

NTT DATA Europe & Latam; Napoli; On-site; EUR 70,000 - 120,000; Full time

Job summary

NTT DATA Europe & Latam is seeking a Senior Machine Learning Engineer to advance GenAI initiatives. You will collaborate with Data Scientists and ML Engineers on scalable ML solutions, from experimentation to production deployment.

The role emphasizes strong mathematical foundations, leadership of ML teams, and delivering end-to-end data pipelines across on‑prem and cloud environments in Italy and beyond.

Qualifications

• 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

Responsibilities

• 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

Skills

Python

Scala

Java

C++

Spark

Databricks

Keras

PyTorch

Snowflake

CI/CD

Tools

Spark

Databricks

Snowflake

Keras

PyTorch

Job description

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!