ML Engineer Senior
Pubblicato il 12-08-2026 - Ntt Data Europe & Latam in Napoli
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.
Per candidarsi, è sufficiente leggere la seguente descrizione del lavoro e assicurarsi di allegare i documenti pertinenti.
Your Contribution In This Role
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- 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
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- 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 languages (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 includin