Ai és automatizáció állások, munkák

• ERP rendszerrel integrált webportálok és e-kereskedelmi megoldások fejlesztése
• A webes architektúra kialakítása és folyamatos továbbfejlesztése
• Alkalmazások megújítása modern webes környezetre
• Backend API-k és frontend komponensek tervezése és implementálása

• Belső felhasználói igények kezelése (megoldás tervezés, fejlesztés, tesztelés)
• Beágyazott ipari szoftver fejlesztése biztonságkritikus rendszereken
• Követelményelemzés, design, SW implementáció, analízis, tesztelés

• Analóg és digitális áramkörök tervezése, fejlesztése
• Tesztelő eljárások, eszközök tervezése, fejlesztése
• Technológia támogatása
• Gyártás támogatása
• Problémamegoldás
• Termékoptimalizálás
• Hibaanalízis
• Hibaminimalizálás

• Design and evolve robust cloud-native services and platforms with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration
• Influence technical direction without direct authority by identifying architectural pain points and improving engineering standards

• Business consulting and stakeholder management
• Solution design and AI orchestration
• Functional specifications and directives documentation
• Test execution and quality assurance
• Issue solving and automated triage
• Risk mitigation and human context consideration

• Rendszerszervezői feladatok ellátása agilis csapatban
• Az IT folyamatok betartása és dokumentációk készítése és karbantartása
• Rendszeres kapcsolattartás az üzleti területekkel, együttműködés más IT Delivery Unit-okkal és a PMO-val

• Owning and continuously refining the product roadmap for a core part of Diligent’s governance, risk and compliance SaaS platform
• Owning end-to-end product strategy and roadmap for new Diligent business lines in AI, data analytics, and insights

• The CloudOps Engineer is responsible for availability for cloud platforms
• Respond, troubleshoot and resolve production alarms
• Communicate and troubleshoot operational issues supporting a complex environment
• Respond to cloud service outages and manage incident tickets

• Design of evaluation framework for scalable LLM-as-a-judge pipelines
• Development of rubrics and datasets including comprehensive grading rubrics and high-quality golden datasets
• Optimization of judge prompts for automated scoring alignment

• Partnership with Canvas Product and Engineering leaders to set overall strategy for platform experience for Admins and Educators
• Leveraging AI and emerging technologies to create innovative and intuitive product design experiences
• Overseeing a team of designers focusing on the Canvas product space

• Assistance in developing AI-powered workflows using large language models such as Claude, GPT, and related technologies
• Support for implementation, testing, and maintenance of workflow automation solutions

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives

• Design, build, and maintain CI/CD pipelines
• Embed observability, automation, and reliability practices early in the development lifecycle
• Drive initiatives around Infrastructure as Code (IaC) using tools like Terraform and Kubernetes manifests

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Building and leading multiple AI directions within a unified strategy
• Defining and owning the overall AI roadmap and priorities across domains
• Designing scalable AI and ML architectures suitable for production
• Translating business needs into practical and impactful AI solutions

• Development of world-class Sportsbook platform
• Support of Sportsbook product available globally
• Collaboration within cross functional teams spanning multiple tech hubs
• Delivery of required business value as part of Sportsbook tech team

• Design, build, and maintain CI/CD pipelines
• Embed observability, automation, and reliability practices early in the development lifecycle
• Drive initiatives around Infrastructure as Code (IaC) using tools like Terraform and Kubernetes manifests

Support implementation and maintenance of the Global Privacy and Data Protection Policy, privacy framework, and governance model...

• Development of a robust framework for generating and distributing work across all operations
• Creation of tools and frameworks for teams to design specific workflows
• Establishment of a comprehensive reference for a 360-degree view of customer data

• Technical leadership in Unreal-powered graphics pipeline development
• Mentoring junior engineers
• Collaboration with cross-functional teams
• Development and optimisation of AR/VR and backend graphics solutions
• Integration with in-house art assets
• Addressing critical bugs