It infrastructure engineer állások, munkák rendszerintegrátor kategóriában

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

• Design our software, analyze problems and implement your solutions independently focusing on C++ development and network protocols
• Develop complex software modules together with our agile development teams

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,...

• Design and implement ServiceNow applications and workflows for our enterprise customers.
• Configure and customize modules such as ITSM and ITOM (must-have), as well as HRSD, CSM, or App Engine.
• Develop custom applications using JavaScript, Glide, Flow Designer, and IntegrationHub.

Analyze requirements and develop solution concepts for data exchange between defined IT systems and the management of business processes in the cloud...

• 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.

• Be part of our internal IT team leading the corporation to the next generation SAP ERP system: S/4HANA.
• Design, evaluate and implement technical integration concepts in a hybrid SAP system landscape as well non-SAP on-premise and cloud applications

• Contact person for our business in the design and implementation of innovative SAP S/4HANA and SAP GTS for HANA solutions.
• Collaboration in national and international projects in the area of SAP S/4HANA Sales, SAP Global and International Trade

• 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

• Write automated test scripts based on received specifications
• Continuously increase the automation coverage
• Ensure automated test cases to run without failures
• Execute test cases and conduct detailed analysis and validation
• Enhance the automation framework
• Support implementing/maintaining/improving CI/CD

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....

• AWS as our cloud provider along with a variety of tools and services
• Redshift as our main Data Warehouse and the main environment for data work
• DBT for our data transformations
• Metabase for data visualizations and dashboarding
• OpenMetadata as our data catalog

• Responsible for handling RICEFW objects within one workstream.
• Be aware of dependencies between business processes.
• Demonstrate strong teamwork, especially within the lead developer community.
• Collaborate with the internal global development team.

As a lead DevOps engineer, you will work side by side with your coworkers in an agile team in an environment which will allow you create the ideal conditions for your future career....

• You will shape and implement C++ software systems prioritizing performance, safety, reliability, and extensibility
• By collaborating closely with other developers and engineers you ensure seamless and hands-on integration of our software into the robotic system

• 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

• 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.)

• 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

Conception, development and deployment of workflows for the import of metadata from service like the catalogue of the German National Library, the Gemeinsame Normdatei (GND) or Wikidata into a VIVO based knowledge graph....

• 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.