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• 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
• Automated RFP/RFI ingestion, classification, and response generation
• Intelligent document understanding
• Knowledge retrieval across product documentation, contracts, and past proposals

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases
• Automated RFP/RFI ingestion, classification, and response generation
• Intelligent document understanding
• Knowledge retrieval across product documentation, contracts, and past proposals

• Design and delivery of secure, scalable, high-performance services and platform capabilities
• Setting technical direction across multiple teams
• Owning complex initiatives end-to-end from problem framing to iteration

• Maintain a configuration management strategy for the EASA Design Organisation Approval
• Oversee the maintenance of configuration management database to ensure accurate and up-to-date information is available for all. Implementation of CM relevant Data in the Configuration Management PLM System

• Core banking számlavezető rendszer fejlesztése, gondozása, tesztelése, illetve hibák keresése
• Üzleti igényekből specifikációk készítése
• Fejlesztési igények megvalósítása társterületeken átnyúló koordinációval

• 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

• Closely follow the latest AI research and technology developments, identify relevant advances, and assess their practical potential for enterprise use cases
• Rapidly prototype and test new methods, architectures, and system patterns against realistic business problems, workflows, and data

Design and Own End-to-End Solutions: Lead the architectural design and implementation of high-availability, high-performance backend services and platform components, seeing them through from concept to production completion....

Become a trusted partner within Sales Controlling Consumer by mastering end-to-end processes, data flows, governance needs, and timing constraints...

• 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

• 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

• You are fully independent within our codebase.
• You ship complex tasks, weigh technical tradeoffs against business timelines and perform sharp code reviews that elevate your peers' implementations.
• You provide strategic insights to platform team leadership.

• 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

• Test and validate data recording and sensor calibration tools in testbench and real prototype vehicle environments
• Collaboration with various development teams to deliver technical solutions

• You will actively work on sparsifying, pruning and quantizing CNN and transformer-based architectures for autonomous driving
• Design, implement, and evaluate models and training algorithms for runtime optimized 3D semantic occupancy predictions

• Learning existing system architecture, codebase, tools, and development practices
• Validating existing technical documentation and flagging any gaps or outdated content
• Highlighting blockers to knowledge transfer such as missing info, unclear logic, inaccessible systems

• 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

Lead the lifecycle of ICT risk assessments, from initial risk identification and execution to final remediation monitoring....

• You understand our platform architecture, existing integrations and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features and integrations.
• You've shipped your first hardware provider integration or significantly improved an existing one.