Application ai developer állások Külföldön középiskolai végzettséggel

• Contribute to the development of Gen/Agentic AI and Data solutions
• Get practical experience in implementation operation of AI Use cases across various business areas within Allianz Re
• Explore and ensure the quality of our comprehensive databases.

• Preparing with excellence materials for meetings and presentations
• Coordination of larger internal and external events (logistics, booking meeting rooms / venues for the team, etc.

Translate ideations and design sketches into 2D patterns and prototypes in the respective sample sizes, using CAD software and physical sampling...

Solution expertise: Provide deep data & analytics expertise with standard and tailored demonstrations that showcase value and tie each demo to clear, outcome-oriented use cases....

• Collaborate with the user team to enhance the functionality and performance of our AI chatbot
• Evaluate different LLM agent frameworks to optimize development and functionality
• Integrate new internal knowledge sources and refine the RAG pipeline to improve the chatbot's knowledge base

Support the Marketing and Communications team in their daily business and assist in the planning, coordination, and execution of marketing activities and campaigns...

• Drive the entire sales process, from business development, introduction demos and POCs through to closing, focusing on Net New Logo's.
• Constantly look for new areas to expand business within WalkMe's Major accounts.
• Build WalkMe's business by hunting for new opportunities.

End-to-end design of the go to market for the sub-solution area including strategic input and direction relative to transformation programs....

• Join a multidisciplinary team (electronics, software, optics, chemist, scientist) in the Machine-Readable Features group.
• Implement software on both real-time operating system and embedded Linux into efficient C/C++ code.
• Test support and troubleshoot embedded software for high-speed sensors.

• Service Delivery: Delivering remote and on-site services to our global and mid-market customers across Europe.
• Process Optimization: Design, analysis, and optimization of complex business processes, as well as error analysis in heterogeneous system landscapes with a focus on SAP MDG.

• Present Sovereign Cloud offering, technical details, and engagement model, managed service offerings to customers and stakeholders.
• Present the technical and value proposition for private cloud on various platforms (AWS, Azure, GCP, SCI etc.)

• Present Sovereign Cloud offering, technical details, and engagement model, managed service offerings to customers and stakeholders.
• Present the technical and value proposition for private cloud on various platforms (AWS, Azure, GCP, SCI etc.)

End-to-end design of the go to market for the sub-solution area including strategic input and direction relative to transformation programs...

As a Cloud Architect & Advisor (CAA), you will be responsible for the private cloud technical foundation of RISE with SAP and Business Data Cloud (BDC) engagements. The CAAs' mandate spans the initial sales cycle, subsequent change requests and renewal events for private cloud architecture changes....

As a (Junior) Cloud Architect & Advisor (CAA), you will be responsible for the private cloud technical foundation of RISE with SAP and Business Data Cloud (BDC) engagements. The CAAs' mandate spans the initial sales cycle, subsequent change requests and renewal events for private cloud architecture...

• Use of new technologies in SAP's cloud services and products (e.g. machine learning, artificial intelligence)
• Implementation of new or amended data protection requirements based on applicable laws and regulations (e.g. international data transfers)
• Support of strategic data protection programs

• Drive results: Use insights, analytics, and experimentation to optimize the funnel, increase conversion, and accelerate time-to-value.
• Innovate with AI: Explore AI and emerging technologies to enhance the user experience, test hypotheses, and scale successful experiments.

• Create fully automated workflows from image acquisition to image analysis
• Collaborate with data scientists to implement hardware automation and computer vision pipelines
• Control microscopes and preprocess images for object detection and segmentation