Help állások Németországban (it programozás, fejlesztés)

Project Work: be a part of our project teams and gain experience in making innovative designs for different ZEISS products...

• Establish yourself as the Go-to-person at customers for all AI related topics.
• Lead the design and delivery of SAP Business AI architectures aligned with customer business strategy.
• Translate strategic AI initiatives into technical reality

Providing deep process and solution-specific expertise in SAP EAM, APM, Service and Asset Manager, and Dynamic Forms — delivering compelling, hands-on demonstrations and solution presentations tailored to both expert audiences and C-level stakeholders...

Providing deep process and solution-specific expertise in SAP EAM, APM, Service and Asset Manager, and Dynamic Forms — delivering compelling, hands-on demonstrations and solution presentations tailored to both expert audiences and C-level stakeholders...

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Design, develop, and implement high-quality and state-of-the-art frontend applications tailored to our customers' needs
• Work hands-on with React, Angular, and other modern Frontend Frameworks

Use your Kubernetes and Go expertise to contribute to Gardener's core components – the foundational building blocks that enable Gardener to manage thousands of Kubernetes clusters across various cloud providers....

Use your familiarity with the Kubernetes controller runtime framework and/or modern front-end frameworks such as Vue.js to design, develop, test, and deploy new features for the Gardener Dashboard and gardenctl, the UI and CLI that power our platform....

Define and execute a compelling product vision for the commercetools Ecosystem, ensuring alignment with company goals and developer needs...

• Design, develop, and implement high-quality fullstack solutions for customer projects
• Work directly with customers to understand business requirements and translate them into technical solutions
• Develop scalable backend services and modern frontend applications

• Drive implementation of regulatory requirements such as Digital Operational Resilience Act (DORA) into the legal entity specific governance framework
• Help ensuring compliance prior to respective regulatory assessments from internal and external stakeholders

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services.You design and lead a multi-layered defense strategy against jailbreaks, prompt...

Architecture & System Design: Identify and address architectural limitations, make pragmatic trade-offs, and help evolve systems toward scalability, reliability, and long-term maintainability....

• Experience engineering management firsthand: from team rituals to strategic planning
• Build and evaluate AI tools that support leadership and operational tasks
• Improve data-driven approaches to organizational decisions
• Contribute your ideas in team meetings where they'll have a real impact

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a Master's thesis following your internship

• Shape the Roadmap & Drive Delivery
• Own the project roadmap and backlog — from high-level initiatives down to individual work items — making sure the team always has a clear, compelling picture of where we're headed and why.

• Develop and manage strategic progress plans and digital transformation roadmaps with measurable outcomes in close collaboration with our CEO
• Drive a culture of continuous improvement and innovation across teams and leadership

• Research on learned components for streaming data systems, such as
• learned cost, latency, and throughput models for continuous and multimodal queries,
• learning-based scheduling, parallelism, and resource allocation for streaming operators, and

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models