ML Engineer Senior - GenAI Solutions

NTT DATA Europe & Latam; Milano; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Global projects

Professional growth

Networking opportunities

Résumé du poste

NTT DATA Europe & Latam is seeking a Senior Machine Learning Engineer to collaborate with seasoned data scientists and ML engineers on advanced ML and Generative AI initiatives across cloud and on-prem environments. You will build scalable data pipelines, deploy ML models, lead a team of ML engineers, and partner with stakeholders to identify opportunities and deliver impactful solutions.

This role offers exposure to cutting-edge frameworks (PyTorch, Keras) and modern MLOps practices, with

Qualifications

• At least 5 years of production experience in Data Science or Software Engineering.
• Strong math, probability, statistics and algorithms background.
• 6–12 months in Generative AI deployment and architecture handling.
• Vector DB knowledge is a plus.
• Solid data structures, data modeling and software architecture understanding.
• Fluent in two mainstream languages (Python, Scala, Java, C++).
• Experience building infrastructure for DS/ML users.
• Strong Spark/Databricks knowledge.
• Experience with cloud and cross-cloud environments; Snowflake is a plus.
• Deep ML frameworks knowledge (Keras / PyTorch).
• Designing production ML pipelines; CI/CD, containerization, MLops.
• Ability to mentor junior team members.
• Strong stakeholder engagement.

Responsabilités

• Apply hands-on Generative AI capabilities on Azure/GCP and on-prem GenAI architectures.
• Leverage a strong mathematical background for modeling and evaluation.
• Work on classification, information retrieval, clustering and optimization tasks.
• Establish scalable, automated processes for large-scale data analysis.
• Contribute to model development, validation and deployment.
• Identify business opportunities and translate them into ML solutions.
• Design and create data pipelines from experiments to production.
• Manage multiple projects and coordinate with stakeholders.
• Lead ML Engineers and mentor the team.
• Connect with internal and external clients to deliver impact.

Connaissances

Production ML experience

Math / statistics background

Generative AI deployment

Vector databases

Data structures / data modeling

Multi-language programming

Infrastructure for DS/ML

Spark / Databricks

Cloud / cross-cloud

ML frameworks (Keras / PyTorch)

Production ML pipelines

CI/CD / MLops / Drift management

Mentoring juniors

Stakeholder communication

Outils

Spark / Databricks

Snowflake

CI/CD tooling

Description du poste

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!