It infrastructure engineer állás, munka

Prepare Business Concept and Business Strategy Review, analyze and evaluate business systems, user requirements and processes Define business goals and KPIs Cooperation with developer and testing team, participate in User Acceptance Testing Support Project management with delivering relevant...

Understand business requirements Prepare and reconcile IT Specifications (System Design, Logical Design) Cooperate with developer and testing team – participate in bug analysis, IT & Business testing, active participation in change management Prepare high-quality documentations using industry...

• Define and prioritize product features and roadmap aligned with business goals
• Own the product backlog and ensure clarity and feasibility as well as maintaining of user stories , epics and features
• Collaborate with SCRUM/Nexus teams to drive agile development cycles

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Support the data engineering team in reconciling data between the new and the legacy systems
• Participate in monitoring, troubleshooting, and resolving data processing issues

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

As Lead Engineer (f/m/d)* Backend, you will take over the strategic, technical and disciplinary responsibility for one engineering team on our Agent Platform....

• You own the strategy and roadmap for domain specific foundation models; align with engineering and production leaders.
• You build and adapt large language, reasoning, and multimodal models for automation at scale.

• You build and adapt large language, reasoning, and multimodal models for automation across engineering, manufacturing, and robotics.
• In addition, you create data flywheels and scalable data pipelines, define and curate high-quality fine-tuning datasets, and design efficient annotation workflows.

• Design the core elements of the conversion program based on consumer insights and data.
• Collect and benchmark best-in-class executions from various industries and co-create solutions with markets.
• Contribute to the evolution of the global onboarding strategy.

• Support and/or take over lead in selected cross-functional projects, to drive business development and optimization
• Actively contribute to a successful transformation of a globally growing organization by adapting E2E processes to changing business models, industry patterns and customer needs

• You will drive all data-related activities within the global rollout, ensuring alignment with project goals and timelines
• Together with rollout managers, you will coordinate planning and execution of work packages across data preparation, mapping, validation, testing, and migration

• Feel and take ownership of the digital product roadmap, ensuring alignment with business objectives, customer needs, and technical feasibility.
• Develop user stories based on a deep understanding of customer/user needs and run the whole process until value creation

Manage a team of highly skilled engineers focusing on accelerated data processing solutions development Lead and motivate team to conduct projects meeting internal and external customer needs Collaborate with deep learning software engineering community to contribute to and improve open source code...

• Solve technical and conceptual challenges and contribute to the continuous improvement of methods and tools within one of our cross-functional Scrum teams
• Shape and operate the build and runtime environment of our cloud platform

Collaborate as part of a cross-functional AI Platform team with Software Engineers, SREs, and internal AI customers (e.g. Data Scientists and Backend Engineers)....

Work in partnership with the Cluster Operations Heads and Site (plant) Leadership Teams to execute the growth strategy, set direction, drive financial and operational performance and act as a sparring partner to the Group CFO an as a business partner to your peers in Operations, Quality, HR...

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• Analyze and optimize business processes (logistics, trade, online platforms).
• Collect, document and formalize business requirements.
• Prepare technical specifications for IT development teams.
• Participate in ERP/CRM and digital platform implementation.