Data science állások, munkák it programozás, fejlesztés területen

• Design, planning, build, and in-life support of IP-based data networks and services
• Design, planning, and build of Data Centre customer connectivity for Managed Services and Telehousing
• Capacity planning of Data Centre and DCN infrastructure

• Training and fine-tuning models against curated datasets
• Running systematic hyperparameter and architecture experiments
• Building and maintaining evaluation suites including regression tests for model behavior and benchmark tracking

• You will contribute to the overall architecture and the design of the German NFDI EOSC Node
• You will coordinate the selection and methodology for developing a service portfolio compatible with existing requirements for the EOSC Node

Develop and extend OpenCHAMI to meet the infrastructure management and operational requirements of CSCS’s current and next-generation supercomputing systems....

• Development and application of advanced data science methods, including transformer-based models, to marine and Arctic biodiversity data
• Work with large-scale biological and environmental datasets (sequencing data, eDNA)

• Improve and extend the current analytics and AI infrastructure (built around Databricks)
• Drive the data platform by observing the fast Data and AI landscape and bringing in new ideas

Together with global process owners, data domain owners and business stakeholders, you establish and continuously enhance enterprise-wide master data lifecycle management for domains such as material master and business partner data...

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Understanding and aligning with business needs, identifying related data requirements
• Participating in technical pre-sales activities, including effort estimation, and proposal creation
• Architecting and planning robust data models and modern data platforms

• As an experienced software developer you create smart and efficient software solutions for network communication (LAN, WLAN, WAN).
• You develop concepts and contribute to specify the software architecture with a focus on network performance and Software-Defined-Networking (SDN).

• Development of RTEMS or Linux applications including subsystem command and data handling
• Low-level hardware control
• Automation
• Custom interfaces
• Communication software for space systems and ground support equipment

• Mapping and analyzing business needs and processes to support the development of digital products and data-driven solutions
• Creating specifications for IT development projects, especially for digital platforms and data-centric features such as user stories and use cases

​Advice and support for projects with Corporate GxP-relevant computer systems and support the system owners of computer systems in life cycle management...

Your focus will be on Cybersecurity consulting, information security, and risk assessment of processes, applications, systems, and IT infrastructures in banks and insurance companies...

Drive Architectural Strategy & Scalability: Partner across Data Science, Platform Engineering, and Product teams to design the technical architecture, data pipelines, and orchestration systems required for high-traffic AI services. Ensure the ecosystem supports highly available, low-latency...

• Üzleti igények felmérése, rendszerezése és a követelmények elemzése
• Adat- és folyamatmodellezés
• Informatikai megoldások funkcionális tervezése az üzleti igények mentén
• Közreműködés és szakmai támogatás a szoftverfejlesztési folyamatban

• You define and drive the target architecture for 's global CRM platform and Customer Engagement ecosystem
• You design scalable integration and data solutions across SAP Sales Cloud v2, SAP Service Cloud v2, SAP S/4HANA, SAP BTP, and connected digital platforms

• Design and implementation of complex enterprise-grade software solutions
• Definition and evolution of application, data, and integration architectures
• Design and architecture of service-oriented and event-driven systems
• Development of distributed, resilient, and highly available platforms

• Lead and manage international research programs across AI, Data Science, Simulation, Processes, and Quantum Computing.
• Build and run multi-partner research consortia with world-leading universities, tech networks, and public funding agencies.