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• Drive Global Operations' data strategy and ensure interoperability with tesa-wide data initiatives
• Operate the governance framework: data ownership, quality standards, metadata, FAIR principles
• Lead cross-functional alignment on data definitions, glossaries, and data standards

• Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data
• Ensure reliability, performance, and scalability of data systems
• Build solutions to handle real-time streaming data from multiple sources

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build intelligent document understanding solutions

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build intelligent document understanding solutions

• Design, implement and continuously improve DevOps concepts, CI/CD templates, pipelines and automation for SAP landscapes (e.g. SAP BTP, S/4HANA)
• Enable reliable build, test and deployment processes across SAP Cloud and on-premise environments

• Magas szintű technikai és üzleti tanácsadás ügyfelek számára az Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatban
• Ügyfelek üzleti és IT folyamatainak felmérése
• Komplex megoldások tervezése, bevezetése és minőségbiztosítása

• Own the end-to-end development of the MOBROG mobile app, from front-end implementation to backend architecture
• Build and maintain cross-platform mobile applications using Flutter

We are looking for a motivated Working Student (m/f/x) to support a strategic core project by ensuring high-quality data administration, data maintenance, and data analysis. In this role, you will help structure, clean, and manage project data and create a reliable basis for data-driven decisions....

• Részvétel orvosi berendezések továbbfejlesztésében
• Gyártmányfejlesztési folyamatok és tesztelési technológiák megismerése és alkalmazása
• Orvosi berendezések fejlesztési eredményeinek ellenőrzése és tesztelése
• Automatizált és manuális tesztkörnyezetek megismerése
• Tesztek implementálása

• Testing new products using latest technologies
• Contributing towards test coverage from manual to automated tests
• Developing quality methodologies, testing strategies and plans
• Communicating with stakeholders and reporting issues

• Odoo-modulok fejlesztése és testreszabása Python 3, XML és HTML használatával
• Backend-szolgáltatások fejlesztése Java/Spring és Hibernate segítségével
• Külső rendszerek összekapcsolása REST- és XML-RPC-API-k segítségével
• Eseményalapú integráció az Apache Kafka segítségével

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

• Work with a wide range of systems, processes and technologies to own and solve problems from end-to-end
• Uphold high engineering standards and bring consistency to the many codebases and processes you will encounter
• Work with engineers across the company to build new features at large-scale

End-to-End Data Lifecycle Ownership: Lead the design and implementation of tracking strategies that cover the entire lifecycle: from initial requirements gathering to Generation, and finally to automated Validation....

Design and build an automation test framework integrated into CI/CD pipelines and the SDLC Implement automated tests across API, integration, and end-to-end layers Write high-quality, maintainable test code with focus on reusability, stability, and execution speed Embed testing into the development...