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2 data science jobs found in Munich

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CELONIS SE
18/06/2026
Full time
Client Value Partner- AI-Driven Transformation & Process Intelligence (Logistics/Transportation)
CELONIS SE München, Germany
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world's fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what's possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. The Role: The Client Value Partner (CVP) role is a key addition to our broader Value Engineering team and will play a crucial role in Celonis' growth strategy. As a CVP, you will spearhead our mission of data-driven business transformation with our most strategic customers. You will lead extensive teams of Celonis experts to ensure the success and satisfaction of some of our...
Quantum- Systems GmbH
02/07/2026
Full time
Senior Platform Engineer – Cloud & ML Platform (m/f/d)
Quantum- Systems GmbH Gilching, Germany
As a Platform Engineer – Cloud & ML Platform (m/f/d), you will be a key contributor to the cloud-native infrastructure that powers our AI and autonomy development at global scale. You will design, deploy, operate, and continuously improve Kubernetes-based platforms that enable our teams to train, evaluate, deploy, and monitor machine learning workloads reliably across regions, clouds, and compute environments. At Quantum Systems, we build intelligent unmanned systems that operate under real-world constraints. Our AI teams depend on scalable, secure, and high-performance infrastructure to turn data, models, and experiments into field-ready capabilities. In this role, you will help build the cloud and ML platform backbone that makes this possible. You will work closely with AI engineers, data engineers, software teams, security, IT, and product stakeholders to provide robust, automated, and developer-friendly infrastructure for large-scale ML workloads. Your work will...
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