Ai és automatizáció állások, munkák

• Design, build, and deliver scalable full stack solutions using Angular, TypeScript, C#/.NET, and AWS
• Own features from concept through deployment, monitoring, support, and continuous improvement

• Lead testing strategy and execution across complex microservices and frontend/backend architectures
• Design, develop, and maintain robust test automation frameworks integrating into CI/CD pipelines

• Providing technical assistance and guidance to Wise's data engineering and machine learning community
• Taking ownership of difficult technical problems
• Participating in the vision for data engineering through documents and conversations
• Getting buy-in from stakeholders and leadership

• Partnership with country controllers and relevant business stakeholders to develop solid working relationships
• Participation in the transition of activities from local controllers or external providers into the Center of Excellence (CoE)

• Ownership and continuous improvement of end-to-end sales operations process from quote creation through closed-won
• Identification and elimination of manual bottlenecks in quote-to-cash process by designing and deploying intelligent automation and AI agents

• 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

• 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

• Modern webalkalmazások fejlesztése és karbantartása Java (Spring Boot) és Angular technológiák használatával.
• AI-alapú fejlesztői eszközök (pl. GitHub Copilot, Cursor, LLM-ek) napi szintű alkalmazása a fejlesztési folyamatok gyorsítására és támogatására.

• AI-alapú üzleti alkalmazások fejlesztése SAP Business Technology Platform (BTP) környezetben.
• SAP AI Core és AI Foundation szolgáltatások alkalmazása intelligens vállalati megoldások kialakításához.
• Modern SAP fejlesztések megvalósítása CAP (Cloud Application Programming Model) használatával.

• 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 and develop interactive 3D, XR, and digital twin applications
• Create immersive visualization experiences for industrial, engineering, facility, and enterprise use cases
• Collaborate with 3D artists, designers, software developers, and engineering teams to build high-quality digital environments

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• Supporting clients in making planning, construction, and operational processes more efficient and transparent through digital modeling technologies
• Implementing and establishing BIM standards
• Creating and coordinating models using Autodesk Revit

• Meglévő IBM alapú adatplatform és BI környezet felmérése és elemzése
• Microsoft Fabric alapú célarchitektúra megtervezése
• Adatplatform teljes architektúrájának kialakítása (adatfolyamok, komponensek, infrastruktúra, biztonság)

• Integration of IPs and development of logic for subsystems
• Understanding and reviewing subsystem architecture
• Development of microarchitecture specifications
• Review of verification test plans
• Debugging and fixing issues

• Owning the solution end to end for defined problems
• Designing, building, and shipping working software using AI agents
• Shaping the approach to solve problems using AI agents in parallel
• Directing several AI agents and rigorously reviewing their output

• Consultant and technical expert on the Salesforce platform providing support to stakeholders and users
• Collaboration with experts from other areas to leverage Salesforce technologies through integrations

• Active involvement in the software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products

• Partnership with data governance and enterprise architecture teams on product, customer and user taxonomies
• Ownership of product measurement standard including canonical metric definitions, naming conventions, field ownership and change control

AI-automatizációs lehetőségek feltárása az üzleti folyamatokban, kiemelten a nagy adminisztrációs terhet és manuális munkavégzést igénylő területeken; az érintett folyamatok feltérképezése és elemzése, szoros együttműködés a szakterületekkel....