3 working student data science jobs found in Berlin

BERLIN, HAMBURG, COLOGNE, FRANKFURT, BREMEN, GÜTERSLOH, MUNICH, DÜSSELDORF Tasks Generative AI transforms business processes, products, and ways of working – when used effectively. In the AI ​​Business Solutions division at Cluster Dynamics Reply, you'll design productive GenAI solutions that scale and deliver real added value. You'll develop copilots and custom AI services, seamlessly integrating them into real-world business processes – from concept to productive deployment. Conceptualization and   implementation of productive generative AI solutions   that are stable, scalable and practically integrated into business processes. Development and   further development of Copilot and Copilot Studio applications   as well as AI-supported business services Integration of AI services   into existing system landscapes, especially within the Microsoft ecosystem Consulting for clients   on AI architecture, governance, security and scaling of GenAI...

BERLIN, MUNICH Tasks As a Senior Consultant Data Engineer (m/f/d), you will support our team in developing modern   data solutions   ,   data products   ,   AI-ready data platforms   and data-based AI solutions, as well as optimizing our customers' data usage. In this role, you will design scalable and efficient data architectures, integrate modern   data engineering and AI technologies   into existing system landscapes, and take responsibility for complex data projects to sustainably strengthen data-driven decisions. Support in the   design   and   implementation   of robust and scalable   data products, data architectures, data platforms   and   AI-ready pipelines Development and maintenance of   pipelines   for   data transformation   , data integration, and data provisioning for analytics, machine learning, GenAI, and reporting use cases from various sources using technologies such as   SQL, Python, dbt, Snowflake, Databricks,...

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,...