ppAs 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. /p h3Your Contribution In This Role /h3 ul liApply hands-on Generative AI capabilities, preferably on Azure/GCP and on‑premise GenAI architectures and MLOps /li liLeverage a strong mathematical background /li liWork on classification, information retrieval, clustering and optimization problems /li liEstablish scalable, efficient and automated processes for large-scale data analysis /li liContribute to model development, model validation and model implementation /li liIdentify business opportunities /li liDesign and create new data pipelines from scratch, from experiments to production deployment /li liManage multiple projects /li liLead ML Engineers /li liConnect with stakeholders /li /ul h3The ideal profile /h3 ul liAt least 5 years of production experience working in Data Science or Software Engineering; /li liDeep knowledge of math, probability,



statistics and algorithms; /li liAt least 6/12 months of experience in Generative AI deployment and underlying architecture handling; /li liVector Database knowledge is well appreciated; /li liUnderstanding of data structures, data modeling and software architecture; /li liFluent in a at least two mainstream programming language (Python, Scala, Java, C++); /li liExperience in building an infrastructure for technical users, such as Data Scientist, ML practitioners or data consumers/producers; /li liStrong knowledge of Spark, Databricks is a strong plus; /li liExperience developing/deploying ML solutions in one of the public cloud platforms and on a Cross-cloud base, Snowflake knowledge is a plus; /li liDeep knowledge with machine learning frameworks (such as Keras or PyTorch); /li liAbility to design and implement machine learning pipelines in a production environment; /li liExperience with deployment including knowledge of CI/CD, contain

📌 ML Engineer Senior (Roma)
🏢 Ntt Data Europe & Latam
📍 Roma