2024. 04. 11. | Teljes munkaidõ | Makó | Benepack Hungary KftTo ensure that our inter-company requirements are tain databases, including sensitive information, for the production lines ensuring amendments are made and invoices are ide data report for sales department or logistic department if tor slow moving stock and work
Nézze később2024. 04. 11. | Teljes munkaidõ | Csongrád | Zsolt Granite CorporationAnd subcontractors to gather necessary information for estimating tain accurate records of estimates, contracts, and change tain a database of leads, clients, and ongoing projects, tracking progress and updating information as uct follow-up communication with clients to address any
Nézze később2024. 04. 13. | Teljes munkaidõ | Debrecen | Deutsche Telekom TSI Hungary Kft.“ to drive informed decision-making and support growth for T-Systems Marketing, we deliver timely and accurate insights, leveraging data and analytics to maximize ROI, identify trends, and foster a data-driven culture”. Key Responsibilities - Analyze all digital channels, including search engine marketing
Nézze később2024. 04. 13. | Teljes munkaidõ | Pécs | Deutsche Telekom TSI Hungary Kft.Qualifications - German and English language skills (at least B2 level) - Oracle Linux knowledge - Windows Server 2019, especially certificate handling - Database knowledge (My SQL server) - Experience in incident and problem management Location - Budapest - Debrecen - Szeged - Pécs Neked ajánlott állások Neked
Nézze később2024. 04. 13. | Teljes munkaidõ | Budapest | Deutsche Telekom TSI Hungary Kft.Is filled in the IoT Technology team of Deutsche Telekom IT solutions Hungary. The team consists of IT professionals working on big data, data analytics, data sharing and IoT solution implementation projects. Project In your future project you will directly work with our customer from the energy solution
Nézze később2024. 04. 13. | Teljes munkaidõ | Budapest | Deutsche Telekom TSI Hungary Kft.Into data specifications. - Collaboration Collaborate with researchers, engineers, data scientists, and business users to transform domain knowledge into functional requirements. - Model Training and Evaluation Train and fine-tune language models using appropriate machine-learning frameworks and tools
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