E learning állás, munka

Project specific intro: Join a cybersecurity and AI project supporting Siemens Cybersecurity Governance, Risk & Security (CYS GRS ARC). You will work on the further development of the AIGIS System, an AI-powered platform that helps Siemens employees respond to customer cybersecurity questionnaires...

• Owning and improving CI/CD pipelines (build, deployment, automated test execution) to ensure reliable and fast feedback cycles
• Creating, maintaining, and monitoring regular debug and release builds across development and release branches

• Provide first-line IT support to end users via phone, email, or ticketing systems.
• Troubleshoot and resolve hardware, software, and network-related issues.
• Install, configure, and maintain laptops, desktops, mobile devices, and peripherals.

• Provide advanced (3rd line) IT support, handling complex and escalated hardware, software, and network issues.
• Act as an escalation point for junior and intermediate team members, providing guidance and technical expertise.

• Provide second-line IT support to end users, resolving more complex hardware, software, and network issues.
• Manage and prioritize incidents and service requests, ensuring resolution within agreed SLAs.
• Install, configure, and maintain end-user devices, including laptops, desktops, and mobile devices.

• Design, development, and optimization of core ML models in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, code review and sharing best practices

• Designing and developing new machine learning models with a focus on real-time performance
• Integrating cutting-edge ML features into the SkeleTRACK product
• Analysing model performance and identifying areas of improvement
• Mentoring junior engineers and driving technical discussions

• 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• Validating existing technical documentation and flagging any gaps or outdated content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

• 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

• Automation and streamlining of fraud investigation processes
• Improvement of tooling for fraud investigations
• Creation of seamless experience for agents and customers during fraud investigations
• Development of innovative solutions to tackle fraud

• Learning from senior and medior developers through mentoring and structured knowledge-sharing
• Supporting daily development with simpler workflows, forms, and minor software updates including implementation and documentation

• Experience in different data science topics
• Independent delivery of data science projects with product-oriented mindset
• Engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• Building high-performing, AI-enabled teams within Budapest Global Center for Product Innovation
• Leading engineering for strategic products with design, delivery, and quality management across multiple agile teams

• Development and customization of Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools
• Building integrations between Dynamics 365 and Azure services such as Logic Apps and Functions

• Management and prioritization of the product backlog by balancing business value, risks, and technical dependencies
• Translation of stakeholder needs into clear, ready user stories with specific acceptance criteria for the development team

Design and build knowledge tracing and longitudinal learner models that support mastery and progression features surfaced to customers...

• 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

• Ownership and management of the product backlog and sprint planning
• Translation of business needs into clear requirements and user stories
• Definition of flow intent and structure
• Collaboration with UX Designer on flow execution and UI Designer on visual consistency

• Designing and developing the architecture of the IT platform of the specific initiative on a company-wide level
• Establishing company-wide technical standards, guidelines, and best practices for the development and implementation of the new platform initiative

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives