Posted: 19.05.2026Job reference: d9c02a16e58a5307c29b204dfcf545d8Job informationLocationClient / EmployerNTT DATA Europe & LatamJob referenced9c02a16e58a5307c29b204dfcf545d8Listing typeBasicEU work permit requiredNoPosted19.05.202603.07.2026ResponsibilitiesAs a Senior Machine Learning Engineer at NTT DATA, work alongside experienced Data Scientists, Data and ML Engineers on advanced machine learning and Generative AI
Initial Contract lenght: 6 months (possible extensions based on performance)Job type: Hybrid, Full remoteRequisitesKnowledge of K8s architectureConfiguration resources: StatefulSet, Deployments, Services, Ingress, ConfigMap, Job/CronJobSecrets management (e.g. Sealed Secret Operator) and environment variablesCustomizeUse of kubectl and/or Lens
Experteer OverviewAs a Senior ML Engineer at NTT DATA, you will collaborate with data scientists and ML engineers on advanced Generative AI initiatives. You apply hands‑on GenAI capabilities across cloud and on‑prem architectures, shaping scalable data pipelines and automated
We are seeking a Italian Content Moderator to help maintain a safe, respectful, and positive online environment for our users and community. In this role, you will be responsible for reviewing and evaluating user-generated content, investigating
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. Your Contribution In This Role Apply hands‑on Generative AI capabilities, preferably
Initial Contract lenght: 6 months (possible extensions based on performance) Job type: Hybrid, Full remote Requisites Knowledge of K8s architecture Configuration resources: StatefulSet, Deployments, Services, Ingress, ConfigMap, Job/CronJob Secrets management (e.g. Sealed Secret Operator) and environment
Experteer Overview As a Senior ML Engineer at NTT DATA, you will collaborate with data scientists and ML engineers on advanced Generative AI initiatives. You apply hands‑on GenAI capabilities across cloud and on‑prem architectures, shaping scalable data pipelines and