3 business intelligence jobs found in Berlin

Your tasks As a   Technical   Product Owner with a focus on Semantic AI & Knowledge Graph, you will be responsible for   the   semantic functionality of CIVORA, which connects urban data, processes, responsibilities, and rules to enable AI-powered applications. This functionality is managed as an independent product segment with its own vision, roadmap, and success criteria. You won't just prioritize a backlog; you will actively shape the long-term capabilities of this area and how it integrates with the overall CIVORA product. Your role is not purely conceptual: you will engage with municipalities and partners to understand their real needs, translate these needs into a prioritized, realistic product backlog for the development team in collaboration with our architects, and even build prototypes to validate initial hypotheses.   Your role is anchored within the Product Management Team at DKSR, with close collaboration with Data Architecture and Product...

BERLIN, DORTMUND, MUNICH Tasks As part of our innovative and international team, you will advise our clients on   developing their AI strategy –   from   identifying and prioritizing use cases   to assessing opportunities and risks, all the way to a viable   business case. You   design   and   moderate workshops   at the specialist and management level (up to CxO level) and   translate   business requirements into   concrete AI solution scenarios   based on AWS (e.g. Amazon Bedrock, Amazon SageMaker, Amazon Q). You advise on   responsible AI   ,   data protection   and   regulatory requirements   (e.g. EU AI Act) and develop   governance models   for the responsible use of AI. You actively support   pre-sales   : You identify new   project potential with existing and new customers, create convincing   offers   and   demos   together with our technical experts   , and keep our   sales pipeline   full together with...

BERLIN, MUNICH Tasks Together with experienced colleagues, you will develop the architecture and implementation of modern   AI and data-driven platforms   in the cloud – with the goal of providing scalable solutions for machine learning and GenAI applications. Automate infrastructure deployment with tools like Terraform or Ansible and create the foundation for the   reliable operation of AI workloads, training pipelines, and inference-related systems   . Dive into the development and optimization of   CI/CD and MLOps pipelines   to efficiently train, version, and deploy production-ready models. Support in monitoring the performance of   AI systems and distributed data platforms   , detecting anomalies early using intelligent monitoring approaches, and initiating automated countermeasures. Actively contribute to the team, exchange ideas and shape the further development of our platforms – especially through   prototyping AI applications,...