PpPosted: /ppJob reference: d9c02a16e58a5307c29b204dfcf545d8 /ph3Job information /h3pLocation /ppClient / Employer /ppNTT DATA Europe Latam /ppJob reference /ppd9c02a16e58a5307c29b204dfcf545d8 /ppListing type /ppBasic /ppEU work permit required /ppNo /ppPosted /p h3Responsibilities /h3ulliAs a Senior Machine Learning Engineer at NTT DATA, work alongside experienced Data Scientists, Data and ML Engineers on advanced machine learning and Generative AI initiatives. /liliApply hands-on Generative AI capabilities, preferably on Azure/GCP and on‑premise GenAI architectures and MLOps. /liliLeverage a strong mathematical background. /liliWork on classification, information retrieval, clustering and optimization problems. /liliEstablish scalable, efficient and automated processes for large-scale data analysis. /liliContribute to model development, model validation and model implementation. /liliIdentify business opportunities. /liliDesign and create new data pipelines from scratch, from experiments to production deployment. /liliManage multiple projects. /liliLead ML Engineers; connect with stakeholders. /li /ulh3Qualifications /h3ulliAt least 5 years of production experience working in Data Science or Software Engineering. /liliDeep knowledge of math, probability, statistics and algorithms. /liliAt least 6/12 months of experience in Generative AI deployment and underlying architecture handling. /liliVector Database knowledge is well appreciated. /liliUnderstanding of data structures, data modeling and software architecture. /liliFluent in at least two mainstream programming languages (Python, Scala, Java, C++). /liliExperience in building an infrastructure for technical users, such as data scientists, ML practitioners or data consumers/producers. /liliStrong knowledge of Spark, Databricks is a strong plus. /liliExperience developing/deploying ML solutions in one of the public cloud platforms and on a Cross-cloud base; Snowflake knowledge is a plus. /liliDeep knowledge with machine learning frameworks (such as Keras or PyTorch). /liliAbility to design and implement machine learning pipelines in a production environment. /liliExperience with deployment including knowledge of CI/CD, containerization, and related concepts with a focus over. /li /ulpFor safety, Eurojobs does not send job-share emails from this page. You can copy the link and share it directly. /p /p #J-18808-Ljbffr