Program állás, munka

Az Environment Management feladatok tervezése, szervezési gyakorlatának, folyamatainak tervezése, bevezetésének és napi gyakorlatának támogatása...

• Ensure the quality of data across various domains (Security, Portfolio, Counterparty, Ratings, Benchmark, Analytics, Pricing) and within relevant systems.
• Perform assigned daily/monthly processes, escalating issues or determining solutions to remove obstacles for the team.

• Collaboration with cross-functional teams to design and implement components for systems and tooling platforms
• Development and optimization of cloud video frameworks including audio/video processing, streaming technologies, low-latency systems, and scalable cloud-based media solutions

• Design and build backend services and APIs supporting data ingestion, transformation, and delivery
• Own data storage and pipeline architecture including integration with streaming/event infrastructure
• Implement authentication and authorisation in line with cloud identity and access management

• Build-from-zero applications
• Bridge ML and product
• AI-accelerated development
• Real-time visualization
• End-to-end delivery

• Development and improvement of football ball and player tracking algorithms using multi-camera systems
• Contribution to multi-view geometry solutions for accurate tracking across the field of play
• Support for approaches to handling occlusion and recovery in fast-paced sports scenarios

• Technical leadership in shaping innovative solutions for sports broadcasting blending Virtual Reality and Augmented Reality
• Addressing critical bugs in Unreal-powered graphics pipeline
• Architecting and implementing core functionalities for graphics pipeline

• Designing, developing, and improving ball and player tracking algorithms using multi-camera systems
• Owning and evolving multi-view geometry solutions for accurate, court-wide tracking
• Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios

• Building and maintaining SQL queries and reports that track bookings, pipeline coverage, and conversion
• Monitoring CRM data quality to resolve issues at the source
• Analyzing pipeline trends and supporting the weekly forecasting review cadence with clean, accurate data

• Fizetésforgalmi terület üzleti igényeinek megértése és technikai megoldási javaslatokká alakítása
• Fizetésforgalmi rendszerhez kapcsolódó fejlesztések szakmai támogatása
• Részletes funkcionális tervezés és funkcionális specifikációk készítése

• Development and customization of Siemens Opcenter APS and Opcenter Execution or Camstar solutions
• Implementation of custom functionalities using C# and SQL
• Support of Siemens Opcenter APS and Opcenter Execution solutions in complex manufacturing environments

• fontos szerep a szoftverfejlesztő csapat munkájában,
• hozzájárulás az IT rendszerek továbbfejlesztési projektjeihez,
• aktív részvétel a cég egyik core rendszerének továbbfejlesztésében,
• specifikáció alapján történő fejlesztés,
• részfeladatok önálló megvalósítása, dokumentálása.

• A Flexcube rendszer esetén általános szervezői feladatok elvégzése:
• Napi ügymenet biztosítása, az akadályozó tényezők elhárításában aktív közreműködés
• Társterületekkel való kapcsolattartás
• Adminisztrációs feladatok végzése (CASD, JIRA)

• Design and code clean, maintainable and high-performance custom-build solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality
• Conduct code reviews and provide constructive feedback to team members

• Design and code clean, maintainable and high-performance custom-built solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality
• Conduct code reviews and provide constructive feedback to team members

• Leading a team of engineers to increase delivery capacity for project rollout
• Owning technical execution across frontend and full stack workstreams aligned to a scalable platform model
• Providing hands-on technical leadership in JavaScript, TypeScript and modern frontend frameworks

• Design and build learner models including knowledge tracing and longitudinal approaches
• Shape the data foundation for learner modeling by defining relevant signals and building datasets
• Translate mastery and progression definitions into model targets and evaluation criteria

• Build and operate deployment pipelines for AI services, covering CI/CD, infrastructure-as-code, environment promotion, and rollback
• Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production

• Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data
• Building and operating APIs, backend services, and pipelines to keep data current and accessible

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases