E-learning állások, munkák it programozás, fejlesztés területen

• Monitor emerging AI developments across all domains and advise IT, leadership and internal stakeholders on opportunities arising from technological advancements in AI
• Identify and evaluate AI use cases together with administrative, scientific service and research units

• Development of manufacturing and production process simulations using Tecnomatix Plant Simulation and Process Simulate
• Analysis and optimization of manufacturing and production process simulations

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

• Solving complex challenges in the day-to-day operations of a hyperscaler’s cloud backend with focus on end of life services (Hardware)
• Hands-on work at the console
• Working directly at the console with technologies that power the platform

• Providing technical assistance and guidance to data engineering and machine learning community
• Taking ownership of difficult technical problems
• Participating in the vision for data engineering through documents and conversations
• Getting buy-in from stakeholders and leadership

• Project management and program implementation for scientific enablement
• Adoption of a co-pilot mindset to support scientists
• Proactive problem solving to identify and address potential blockers
• Autonomous execution with task and priority management

• Support and optimize business processes across the full lifecycle of logistics and after-sales operations
• Ensure consistent status handling, issue resolution, and process transparency
• Translate business policies and rules into functional SAP requirements

• Implementation and support of VB.NET based software solution
• Participation in the run and maintain team for MES software

• Design and scale sovereign AI platforms on Azure Kubernetes Service (AKS)
• Ensure high availability and reliability for multi-agent AI systems
• Enable secure enterprise-grade AI deployments
• Architect Zero-Trust environments for LLM-based solutions

• Supporting clients in making planning, construction, and operational processes more efficient and transparent through digital modeling technologies
• Implementing and establishing BIM standards
• Working actively with Autodesk Revit to create and coordinate models

• Entwicklung und Betrieb zentraler KI-Plattformkomponenten für Studium und Lehre
• Beobachtung aktueller KI-Technologien zur Ableitung innovativer Lösungsansätze
• Verantwortung für Modell-Serving und Betrieb von KI-Inferenzdiensten
• Betrieb und Konfiguration von API-Gateways für KI-Services

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns

• Lead full-cycle SAP S/4HANA Finance implementations and rollouts
• Analyze and optimize clients’ financial processes
• Collaborate with cross-functional teams to integrate SAP Finance with other modules
• Advise finance stakeholders on SAP S/4HANA capabilities and best practices

• Technical expertise and influence across LLVM compiler development for Arm and upstream
• Mentoring engineers inside the LLVM team and in the community
• Representing Arm in the LLVM ecosystem with upstream contributions and community influence

You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving....

• Build and run evaluation pipelines for LLM-based systems
• Analyze metrics, identify edge cases, and track quality
• Create and maintain Golden and Silver datasets
• Work with evaluation frameworks and tools (like Langfuse)
• Develop Python scripts for AI workflows (APIs, data processing, monitoring)

Analyzing our customers' ideas, challenges, and product landscape together with our engineering teams and research, and translating them into concrete technical solutions (PoC, prototype, MVP) and product visions...

• Design, develop, test, document, and deploy high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Analyze client specific requirements and define data model to support business, reporting and technical requirements

• Platform ownership and enhancement of the OneStream platform
• FP&A enablement through translating business requirements into system solutions
• Design and optimization of CubeViews, interactive dashboards, and global reporting structures

• Cryptography modeling and refining end-to-end encrypted architecture
• Taking part in post-quantum cryptography migration across the product stack
• Working across platforms including frontend, backend, native code, CI/CD pipelines, and software development lifecycle