2024. 01. 30. | Teljes munkaidõ | Pécs | AURAUnderstanding of machine learning algorithms and techniques Strong programming skills in Python or similar programming languages Strong communication and collaboration skills. It would be great if you also had Hands-on experience with Databricks Experience with Terraform
Nézze később2024. 04. 13. | Teljes munkaidõ | Debrecen | Deutsche Telekom TSI Hungary Kft.Digital Marketing Performance Analyst - REF2165R (Budapest) Digital Marketing Performance Analyst - REF2165R (Budapest) Alapvető elvárások Company Description The largest ICT employer in Hungary, Deutsche Telekom IT Solutions (formerly IT-Services Hungary, ITSH) is a subsidiary of the Deutsche
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.Member will be responsible for driving forward the main topics such as SDSC (Standardised Data Privacy & Security Concept) and PSA ( Privacy & Security Assessment)IT Security, Risk Management, AVV/CDPA (Auftragsverarbeitungsvertrag/Commissioned Data processing agreement)BIA - TIA, & Co ( Business
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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