Ai applications engineer állások, munkák rendszerintegrátor kategóriában

• Nagyvállalati ügyfeleknek megoldások tervezése
• Logikai és fizikai rendszerterv elkészítése
• Dokumentációk készítése a tervezett megoldásról - részletes leírással, táblázatokkal és UML diagramok-kal
• Üzleti elemzők támogatása a követelmények megvalósíthatóságának vizsgálatában

• Power Platform bevezetési projektek tervezése, megvalósítása nagyvállalati környezetben
• Egyszerűbb üzleti alkalmazások tervezése, megvalósítása elsősorban Microsoft technológiákkal, dobozos megoldások testreszabásával, konfigurációjával

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued,...

What you'll build We are seeking a highly skilled and motivated professional (f/m/d) to join our Sales & Services team in the Premium Hub Center of Expertise (CoE) for Customer & Vendor Management. You will drive customer success and innovation of SAP's most strategic customers in the area of...

• System Design: Develop software systems for large-scale robotic data collection, ensuring reliability and scalability.
• Engineering Principles: Apply structured practices to build maintainable, modular, and testable codebases.

Act as a global domain lead for Integration Suite and Event Driven Architecture, owning maturity and consumption KPIs in alignment with the FRE framework....

• Holistic support for SAP implementation, digital transformation and cloud transition projects
• Creation of business process design, architecture, scalability, security, and operations concepts for SAP solutions
• Knowledge transfer as part of training and project support from customers and partners

• Develop and maintain high-performance web applications using React and TypeScript
• Implement and optimize backend services and APIs running in a Kubernetes powered Azure environment
• Work within a monorepo architecture to ensure modularity and efficient code management

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....

Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista's market insights coverage....

Implementing and further developing our financial services platform Backend development for banking/payment systems Code review participation Platform familiarization Working within Scrum + SAFe methodology...

• Design scalable and secure cloud solutions on Azure to support data collection and processing
• Understand business and application needs to identify key architectural drivers
• Develop comprehensive solutions considering organizational constraints

Architect, design, and help implement methods to optimize Diligent's AWS environment and processes Advise product software engineering teams on product and core infrastructure design Develop and deploy infrastructure-as-code using best practices...

• Design, optimize, and maintain high-performance databases, data pipelines, and APIs for suena's energy trading and analytics platform.
• Model complex time-series data, enable robust integrations with modelling and data science teams, and ensure data reliability and scalability.

Develop and maintain data architecture: create and manage robust data architectures that support high-volume, high-throughput SaaS applications, focusing on reliability and scalability....

• 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