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    2 Határozatlan idejű It / telekom jobs found in Budapest, Budapest

    szűrő4
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      • budapest, budapest
      • határozatlan idejű
      • főiskolai, egyetemi végzettség / university
      Cégleírás / Organisation/DepartmentOur partner is a fast-growing, innovation-driven company building and deploying AI solutions across Space, Manufacturing, AdTech, and FinTech. They combine state-of-the-art research with robust engineering to solve real-world problems at production scale.Pozíció leírása / Job descriptionBuild Agentic Systems: Design supervisor/executor patterns, memory strategies, and robust tool-calling failure handling.LLM Adaptation &
      Cégleírás / Organisation/DepartmentOur partner is a fast-growing, innovation-driven company building and deploying AI solutions across Space, Manufacturing, AdTech, and FinTech. They combine state-of-the-art research with robust engineering to solve real-world problems at production scale.Pozíció leírása / Job descriptionBuild Agentic Systems: Design supervisor/executor patterns, memory strategies, and robust tool-calling failure handling.LLM Adaptation &
      • budapest, budapest
      • határozatlan idejű
      • főiskolai, egyetemi végzettség / university
      Cégleírás / Organisation/DepartmentWe are looking for an experienced and highly motivated Medior BI Data Engineer to join our Client's Business Intelligence & Insights team and play a key role in shaping the data foundations that power their products, analytics, and strategic decision-making. Reporting to the Director of BI, you will build scalable pipelines, robust data models, and reliable infrastructure that enable teams across the organisation to acces
      Cégleírás / Organisation/DepartmentWe are looking for an experienced and highly motivated Medior BI Data Engineer to join our Client's Business Intelligence & Insights team and play a key role in shaping the data foundations that power their products, analytics, and strategic decision-making. Reporting to the Director of BI, you will build scalable pipelines, robust data models, and reliable infrastructure that enable teams across the organisation to acces

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