Javascript állások Németországban (it tanácsadó, elemző, auditor)

• Design and implement modern front-end interfaces for energy performance dashboards and AI-driven applications
• Develop interactive visualizations and compelling data storytelling components for business stakeholders

• Take end-to-end ownership of large, business-critical initiatives, ensuring strategic impact and sustainable outcomes.
• Act as a recognized expert, setting technical and architectural standards across complex domains.

Collaborate with cross-silo Operations and business stakeholders to deliver firm managed strategic change initiatives impacting the MSESE group in a project management office capacity...

Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding....

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

• Conduct research and development in the areas of 3D rendering, visualization, and simulation-based system development
• Develop high-performance C++ software for visualization, simulation, and physically based rendering (PBR)

• Lead the design, development, testing, and maintenance of the flaQship toolkit
• Integrate the flaQship toolkit via standardized APIs into the national quantum computing full stack and enable workflow-integration with established toolkits and framework (e.g. MQT or Eclipse Qrisp)

Tailor the SAP-RPT model family to the unique complexities of real-world relational enterprise data, enabling models to navigate and reason over intricate schemas and logic...

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

• Partner with business and IT stakeholders to guide strategic and transformational initiatives across the Microsoft Dynamics landscape (D365 CE, D365 FO, Customer Insights, Marketing, Field Service).
• Establish and further strengthen the AI-Driven CRM System with an agentic approach.

• Understand the business - Assess and support the business objectives for digital products and services
• End-to-end architecture of a distributed multi-brand energy management system for construction sites embedded within the LIEBHERR multibrand Ecosystem

• Ensue adherence to ServiceNow standards (out-of-the-box first) and help do develop and monitor governance directives
• Assess requirements regarding scalability, maintainability, and technical feasibility in the context of the platform

End-to-End Data Lifecycle Ownership: Lead the design and implementation of tracking strategies that cover the entire lifecycle: from initial requirements gathering to Generation, and finally to automated Validation....

Achieve the strategic goals of the state Baden-Württemberg in training on HPC and Data Intensive Computing, (after a successful transitional phase) by leading the training work package of the bwHPC-S5 project....

You will design and write a master's thesis on predictive maintenance for the electric heating elements of a commercial dishwasher....

You steer internal and external international development teams to develop and operate a scalable, secure, and high-performance AI platform (In-Vehicle & Cloud)....

• 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.

Run structured stakeholder interviews across asset management, property management, leasing, finance / controlling, and ESG to surface the processes where AI could create real value....

Collaborate with the responsible assessors and certification/zulassung authorities (BSI) as well as with colleagues from software development and product management;...

• Contribution to the development and implementation of machine learning and artificial intelligence methods in clinical diagnostics and biomedical research
• Application of classical statistical methods for the processing and analysis of raw data from various omics datasets