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• Assess and advance the architectural intent crafted during pre-sales.
• Provide architectural leadership across the full transformation lifecycle and guide platform adoption and evolution.

• 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

• Lead and develop assigned R&D teams in alignment with corporate strategy and business objectives.
• Translate product and technology strategies into actionable development plans and ensure successful execution.

• Management of projects and initiatives end-to-end with appropriate structure, planning and governance
• Translation of high-level objectives, incomplete requirements or technical discussions into clear actions, milestones, responsibilities and delivery plans

Key job responsibilitiesAs a Business Intelligence Engineer in Innovation and Design Engineering at Amazon, you will connect with engineers working at the forefront of designing new automation technologies. You will be working with massive-scale data and providing analytic support to product...

• 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

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....

• 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

• 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

• 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.

• 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;

• Keeping contact and cooperating with teams located in Hungary and in Germany
• Ensuring smooth and intense communication with colleagues and partners
• Writing software design documents
• Working with stakeholders for review and approval
• Designing new functionalities
• Implementing new functionalities

• Keeping contact and cooperating with teams located in Hungary and in Germany
• Ensuring smooth and intense communication with colleagues and partners
• Writing software design documents and working with stakeholders for review and approval
• Designing, implementing and testing new functionalities

• 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

• 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

• Project management for energy transition projects
• Coordination of cross country project teams from various disciplines
• Tender management on offers preparation
• Quality management
• Budget control
• Progress control
• Optimization of team work
• Active participation in continuous improvement process

• You manage the business-critical applications landscape, including ERP / Dynamics 365, CRM, analytics, automation and integrations.
• You define the digitalization roadmap and identify pragmatic AI and automation opportunities.

• Research and identify suitable prediction approaches, including kinematic and dynamic models, Kalman filters, regression techniques, data-driven methods, and hybrid approaches
• Implement prototypes in Python and integrate selected methods into C++ applications where appropriate

• 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...