ML Engineer Senior - GenAI Solutions
Pubblicato il 09-10-2026 - Ntt Data Europe & Latam in Torino
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.
Se desidera conoscere i requisiti per questo ruolo, continui a leggere per trovare tutte le informazioni pertinenti.
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 deploymentManage 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 at least two mainstream programming languages (Python, Scala, Java, C++);
- Experience building infrastructure for technical users such as Data Scientists, 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 xysqume knowledge of machine learning frameworks such as Keras or PyTorch;
- Ability to design and implement machine learning pipelines in a production environment;
- Experience with deployment, CI/CD, containerization, and related concepts focusing on 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
#J-18808-Ljbffr