Junior design állások, munkák rendszerintegrátor kategóriában

• collaborate with customer and functional consultants to deliver complex SAP solutions with focus on SAP Business Technology Platform (BTP)
• develop applications and extensions using SAP Build

• Lead the design and delivery of SAP integration solutions using SAP Cloud Platform Integration (CPI), API Management, and other middleware technologies.
• Develop integration strategies, standards, reusable components, and best-practice guidelines.

Software developer for embedded systems%Software developer for embedded systems%Swan Analytische Instrumente AGSwan is an international SME situated in Zurich Highlands, which develops and produces high-quality measuring instruments for the online water analysis. We employ 300 people at 15...

• 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.)

• Establish yourself as the Go-to-person at customers for all AI related topics in the CEE region
• Lead the design and delivery of SAP Business AI architectures aligned with customer business strategy.
• Translate strategic AI initiatives into technical reality

• You will architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control.
• You will engineer and operate end-to-end AI systems, focusing on fine-tuning and scalable serving of modern AI models.

Build a platform integrations between Designate and external platforms (e.g., Qualtrics, Bluesky, Mastodon, etc)—including authentication, API calls, and error handling...

Business Process System Engineer% (f/m/d)True to the vision "We drive innovation to improve people's lives", the Hamilton companies have been providing solutions for the health sector sinceWe are an innovative pioneer in the fields of ventilators, automated pipetting, sample management and in the...

• Design and implement end‑to‑end AI pipelines for time‑series and event‑driven sensor data (e.g., pressure, temperature, current, voltage, etc.)
• Combine physical models with data‑driven approaches (hybrid / physics‑informed machine learning) to improve robustness and interpretability