ML Engineer Senior - GenAI Solutions
Pubblicato il 14-09-2026 - Ntt Data Europe & Latam in Bari
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 essere preso/a in considerazione per un colloquio, la preghiamo di assicurarsi che la sua candidatura sia pienamente in linea con le specifiche del lavoro riportate di seguito.
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 xysqume 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
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