ML Engineer Senior - GenAI Solutions

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 at least two mainstream programming languages (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, containerization, and related concepts with a focus over MLOps/Re‑Training/Drift Management; /li liAbility to train more junior team members in multiple Machine Learning and Deep Learning concepts; /li liEstablish and maintain strong relationships with internal team members and external clients /li /ul h3Location /h3 pMilano, Bari, Bologna, Cosenza, Napoli, Pisa, Roma, Torino /p /p #J-18808-Ljbffr