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Drive End-to-End Robotics Deployment: As a Chief Expert Robotics, you will lead the technical implementation and architecture of advanced robotic systems by translating complex algorithms into reliable, production-ready hardware and software solutions....

Own the AI platform – take end-to-end ownership of Roland Berger's AI ecosystem, including the AI orchestration layer, AI agent frameworks, LLM integrations, and model routing infrastructure; shape the platform roadmap, own the platform budget, and drive build-vs-buy decisions in alignment with IT...

• Lead the development and implementation of an Agentic Contact Center approach, from initial exploration through MVP development and scaling
• Translate Customer Service business requirements into concrete and scalable AI use cases, process designs, and solution requirements

• Create and implement test strategies and concepts for all test levels in embedded, cloud, mobile and web applications
• Improve our development and testing processes, methods and tools, and support the development teams
• Plan, set up and maintain test environments and automation frameworks

• Üzleti alkalmazások fejlesztése frontend- és backend-oldalon egyaránt
• Fejlesztési feladatok szakmai vezetése és megvalósítása
• Új technológiai megoldások és fejlesztési javaslatok beépítése különböző rendszerekbe
• Meglévő fejlesztések támogatása, hibák felderítése és javítása

• Design, development, testing, deployment, and maintenance of scalable and robust software solutions
• Collaboration with product owners, business analysts, and other stakeholders to understand requirements and translate them into technical specifications

• 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
• Develop intelligent document understanding for PDFs, Word, Excel, presentations

• 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 thesis following an internship position

Analyze AI computing systems end-to-end: Understand how training and inference workloads run on modern data-center architectures and identify the fundamental bottlenecks in compute, memory, interconnects and energy efficiency....

• 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 AI solutions for intelligent document understanding

• Design, develop, and maintain robust and scalable software solutions
• Apply object-oriented design principles and established design patterns
• Contribute to system architecture, improvement of our existing software design and technical decision-making

• Collaborate with business stakeholders to identify technical opportunities and gather user requirements for Polarion customizations, workflows, reports, dashboards, and integrations.
• Configure, customize, and maintain Polarion ALM solutions to support engineering, quality, and compliance processes.

Advise business units and senior stakeholders on AI opportunities, strategic priorities, target operating models, and the practical implications of emerging AI technologies...

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

In this role, you design, co-create and implement enterprise-scale agentic AI systems together with business and IT teams, from solution architecture to production deployment....

• An opportunity to build the foundation for next-generation products
• The possibility to learn and implement cutting edge 3D computer vision methods
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following the internship

Support the evolution of our modelling and analysis software ecosystem through collaborative development, documentation, and adherence to good engineering practices...

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• G ood development understanding in both front-end and back-end technologies, while leveraging SharePoint object model /architecture;
• In depth technical understanding of the M 3 65/SharePoint online architecture. Able to configure SharePoint inbuilt and PnP based components;

• Developing and extending GPU-accelerated rendering features using Vulkan
• Implementing physically based rendering (PBR) and material models
• Designing and optimizing shader pipelines using Slang and modern graphics APIs