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• driven by real business problems,
• focused on measurable value, and
• aligned with enterprise architecture, governance, and delivery standards.
• Own the end‑to‑end delivery of the Data & AI portfolio across multiple initiatives and programs

• Design and maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts

You will contribute to selected areas of the design and continuous development of our data and AI platforms, supporting the journey from concept to productive operation....

• Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data.
• Work with ERP Data: Integrate and model data from ERP systems and finance tools, including accounting, controlling, procurement, revenue, and cost data.

• Design and implement search functionalities in a PaaS ecommerce Scala backend.
• Develop in a scalable and multi-tenant architecture.
• Analyze user needs and discuss technical approaches.

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

Senior Software Engineer C++ At MaxWell Biosystems, we innovate the future of electrophysiology by developing cutting-edge technologies for neural activity recording. Our platform includes the software MaxLab Live, a custom-designed integrated circuit, and an FPGA-based data acquisition system that...

• Define, own, and steer end-to-end architecture and implementation working closely with our engineering team
• Translate use case requirements into architecture definitions
• Drive execution and delivery of production-ready KG solutions establishing a stable and reliable system architecture environment

Develop and apply advanced ML and statistical models (e.g. regression, tree‑based, Bayesian, DoE) to support mammalian cell line and upstream process R&D....

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

Where you belong: Where you belong: ...

Design, develop, and maintain SAP's official AI Core SDKs for Python, Java, and TypeScript....

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

Tailor the SAP-RPT model family to the unique complexities of real-world relational enterprise data, enabling models to navigate and reason over intricate schemas and logic...

• Develop and Implement: Build and maintain platform solutions that improve the reliability, security, and scalability of our Database Platform infrastructure.
• Operational Excellence: Apply cloud infrastructure, networking, and CI/CD best practices to support our operational data storage solutions.

Your SQL skills are second to none when it comes to translating operational and strategic requirements in Daily Banking into smart data solutions. With your analytical mindset, you refine data outputs and deliver precise answers to complex questions....

• Support the Data Governance Lead in preparing, running, and following up on Data Governance Board and Focus Group meetings
• Prepare meeting materials (agendas, PowerPoint slides, decision templates) and document outcomes, actions, and decisions

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

Lead the local team in developing new applications, ensuring that each phase, from design to coding, is executed with precision and quality. Oversee the installation and configuration of applications in various environments, ensuring a smooth and seamless transition for end users. Continuously...

• providing concepts, templates and implementations of AI service infrastructure and tooling
• taking an active part in bringing the developed AI-solutions to production in collaboration with the ML Engineers
• supporting review, monitoring and maintenance of the AI solutions