E learning állások, munkák it programozás, fejlesztés területen

• Development of cutting-edge CI/CD pipelines
• Streamlining systematic processes
• Maintenance of core gateways
• Ensuring security and integrity of software assets
• Trying out new technologies to improve and expand know-how
• Participation in cross-functional, international agile team

• Fejlesztés agentic AI alkalmazásokból finomított üzleti és műszaki követelmények alapján
• Megvalósítás agent munkafolyamatokból, promptokból, modell integrációkból, memóriából, RAG-ből, eszközhívásból, biztonsági kontrollokból és emberi beavatkozásból
• Egység- és integrációs tesztek írása

• Developing and adapting machine-learning approaches for structure-based and generative molecular design.
• Integrating physicochemical information, including protein-ligand interaction features, into generative AI workflows.

You teach fundamental knowledge with high practical relevance, e.g. for the topics user interfaces, business rules, web services, and quality constraints, and are responsible for correcting exams....

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Improvement of repetitive processes using AI
• Organization and checking of data used by the Operations team
• Connecting everyday tools to reduce manual work
• Experimentation with AI tools, chatbots and workflows
• Troubleshooting and solving smaller operational tasks

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

• Payroll data oversight across global operations
• Data system development for payroll data management processes
• Development and support of global payroll data management standards
• Management of data integrations and analysis
• Process mentorship for local teams on data hygiene practices

• Lead and coordinate the AI project portfolio in the Medium & Low-speed Division from ideation through implementation and post-review.
• Take ownership of key AI initiatives in the Medium & Low-speed Division, driving execution when needed, and ensuring alignment with strategic objectives.

• Data assets and strategy: Own pre-training, evaluation and metadata assets, shape their strategy and expand them with new data sources.
• Data roadmap and prioritization: Maintain the short- and long-term roadmap, manage the extraction backlog and coordinate dependencies.

• Development and clinical evaluation of machine-learning models for the detection of resistance plasmids directly from routine MALDI-TOF mass spectra
• Genomic analysis of carbapenemase-producing Enterobacterales and their mobile genetic elements, using short- and long-read whole genome sequencing

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• Drive deployment of large scale SAP S4 project in areas around Asset Accounting, CAPEX & Lease Accounting
• Implementation of the E2E BPM strategy
• Delivery of solutions including processes, technology, and analytics
• Support of global business acceptance for dedicated area

• Creating, owning and implementing a holistic change management strategy including engagement, readiness and adoption
• Driving behavioral change and technology adoption for effective knowledge transfer, user readiness, and seamless adoption of new functionalities

• Owning the 500+ member community including weekly session format, volunteer facilitator network, and community rituals
• Evolving the community into a self-reinforcing learning ecosystem with clear growth tracks and visible career impact

• Lead intake, triage, and prioritization of Enterprise Web Product requests
• Advise stakeholders on the effective use of Enterprise Web Product functionalities and best practices
• Act as the main liaison between BPOs, internal requestors, IT/technical teams, and external partners

• Technical presales leadership
• Technical discovery sessions and product demonstrations
• Primary technical contact during enterprise sales cycles
• Customer and partner advisory on architecture, integrations, and best practices
• Consulting engagements and technical services delivery

• Design and implement backend services and APIs
• Develop new features together with Product Owner and Architects
• Optimize performance, scalability and security
• Write unit and integration tests
• Review merge requests and ensure coding standards
• Troubleshoot incidents and perform root cause analysis

Cyber Security & Offensive Testing - Perform authorized vulnerability assessments and penetration tests as part of audit and special engagements (e.g. “friendly attack”, assumed breach scenarios). Conduct technical testing of Applications, APIs, and platforms, IT infrastructure, networks, and...

Daten verstehen und Mehrwert schaffen: Sie analysieren Daten aus Produktions-, Qualitäts-, Engineering- und Business-Systemen, entwickeln Datenmodelle und identifizieren im Team Optimierungspotenziale, Trends und Zusammenhänge für datenbasierte Entscheidungen....