2024. 04. 11. | Teljes munkaidõ | Makó | Benepack Hungary KftExperience when you join our multi-national team and work together with our world’s leading and most-respected companies. Open up a difference in your professional path, around the globe!, Analyse customer forecasts and create a “shortage analysis” and use this data to forward plan production
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.SEM), display advertising, social media advertising, website and email marketing…. - Provide regular (comprehensive) reports/analysis with actionable insights on campaigns to stakeholders - Collaborate closely with marketing teams to align gtm tactics - strategies - Conduct comprehensive analysis
Nézze később2024. 04. 13. | Teljes munkaidõ | Pécs | Deutsche Telekom TSI Hungary Kft.In the best possible way. - 2nd/3rd level support and maintenance of an internal signature management application (Pepsig) and its specific devices - Understand architecture, creating and deploying packages - Root cause analysis and investigation of incidents - Being in contact with Telekom shops
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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