Application ai developer állások Külföldön (it programozás, fejlesztés)

• 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...

Design and deliver AI-driven solutions for Swiss Financial Services clients, focusing on Agentic AI, intelligent automation, AI enablement, data engineering, and scalable application development....

• Support in developing a clear product vision for smart factory solutions (e.g. automation, IoT, digital twins)
• Alignment with company goals and stakeholders from production, IT and operations management
• Creation, prioritization and maintenance of the product backlog

You will become part of our Finance Technology team within our Technology Consulting practice supporting local as well as global financial services clients (Banking/Insurance/Wealth & Asset Management industry)...

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...

• Collaborate on developing and implementation of post-hoc explainable AI models for computer vision models
• Exploring and benchmarking of XAI algorithms for vision language models
• Investigate potential of large language models for concept based XAI

• 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.

• Implementation of software solutions for research purposes
• Translation of research code into robust software (e. g., optimization, refactoring)
• Contribution to research projects to allow deployment (containerization, virtualization)

• 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

• You technically lead the internal development of cloud and on-premises software.
• You communicate with external technical leaders to ensure compliance with internal needs and company guidelines.
• You are a trusted fellow, always ready to help colleagues with their daily problems and questions.