E-learning állások, munkák it programozás, fejlesztés területen

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

• Design and architect scalable AI/ML solutions and enterprise integrations
• Collaborate with business stakeholders to identify AI-driven opportunities and use cases
• Define and drive AI strategy, roadmap, and enterprise AI adoption initiatives

• Backlog ownership and prioritization balancing business value, risks, and technical dependencies
• Requirement translation into clear user stories with acceptance criteria
• Release planning including operational readiness and impact assessments

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

• Development, testing, and maintenance of data pipelines to extract, transform, and load data from various sources
• Writing high-quality, maintainable Python code
• Participation in code reviews
• Participation in technical discussions for tool selection and architectural decisions

• Defining and communicating architectural vision for the Cloud Management Portal aligned with product strategy and customer outcomes
• Making pragmatic architectural decisions balancing modern practices with delivery speed and customer value

• Fighting financial crime
• Enhancing the customer experience during fraud investigations
• Automating and streamlining fraud investigation processes
• Improving tooling for fraud investigations
• Creating a seamless experience for agents and customers
• Developing innovative solutions to tackle fraud

• Learning existing system architecture, codebase, tools, and development practices
• Validating existing technical documentation and flagging any gaps or outdated content
• Highlighting blockers to knowledge transfer such as missing info, unclear logic, inaccessible systems

• Design and implement cloud-based application architectures based on Microsoft 365
• Build and optimize Dev-Test-Int-Prod deployment pipelines using Azure DevOps
• Develop enterprise applications using PowerApps (Model-Driven and Canvas Apps)

• Review and challenge engineering design documents
• Build and mentor a high-performing engineering team
• Contribute to strategic planning and execution as part of the Engineering Leadership Team
• Champion leadership behaviors and cultivate a motivated, high-achieving team culture

• Operational reliability, performance and resilience of the Global Fabric NaaS platform
• Support and troubleshoot microservices, APIs and integrations across the NaaS ecosystem

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

• Salesforce.com administration
• Documenting business requirements and standard operating procedures
• Responding to technical questions from end users
• Supporting end user technical needs for a global team
• Serving as primary point of contact for Salesforce.com administrative support and issue resolution

• Validierung von ML/KI-Designs und Architekturen
• Sicherstellung der Datenschutzkonformität in ML/KI-Prozessen
• Prüfung und Kontrolle von Datenzugriffen
• Analyse und Klassifizierung von Daten nach Datenschutzklassen
• Vorbereitung und Durchführung von Datenschutz-Assessments

• Assisting in gathering client requirements and understanding project goals
• Supporting the breakdown of project tasks into manageable activities
• Contributing to the creation of project schedules and basic sprint plans
• Managing team schedules, including tracking time off and absences

• Design assays for custom targeted sequencing panels for external and internal researchers
• Understanding key scientific questions and translating them into effective assay design strategies
• Partnering with external customers to understand project requirements and deliver high-quality design solutions

Tailor the SAP-RPT model family to the unique complexities of real-world relational enterprise data, enabling models to navigate and reason over intricate schemas and logic...

• Definition and execution of the company’s AI strategy
• Guidance on selection, development, and usage of internal AI solutions
• Adoption of emerging AI technologies
• Contribution to technical thought leadership through white papers, guides, and case studies

• Work with an agile mindset and according to agile methodology
• Collaboration within the team, with other teams in the Domain and Deutsche Telekom, and with software engineers using the cloud platform
• Approach work with a DevOps and continuous improvement mindset

• Development and enhancement of Open Telekom Cloud platform in a customer-oriented manner
• Solving complex problems in the daily operation of a hyper-scaler's cloud backend
• Hardware-oriented work at the console
• Development and operation of monitoring and quality assurance