E learning állások III. kerületben (it programozás, fejlesztés)

• 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

• Development, adaptation, and deployment of end-to-end tracking solutions for sports officiating and analytics
• Implementation and optimization of ML models using Python, C++, PyTorch, NumPy, Pandas, and OpenCV
• Design and building of ETL pipelines and data manipulation workflows

• Leading engagements to build and productionize tailored AI applications in the Databricks platform
• Owning the technical delivery of AI solutions independently or as Delivery Technical Lead
• Leading technical scoping and designing high-level architectures for AI and Generative AI solutions

• Lead the evolution of design system with scalable components, patterns, and guidelines
• Partner with Product Managers, Engineers, Content Designers, and Brand Designers to deliver intuitive, user-centred experiences
• Influence product strategy through research, insights, and design thinking

• AI és adatvezérelt megoldások bevezetésének, működtetésének és fejlesztésének támogatása
• AI/ML use case-ek, PoC-k és projektek szakmai koordinációja az üzleti és IT területekkel együttműködve
• Üzleti igények felmérése, technológiai lehetőségek azonosítása és a megvalósítás koordinálása

• Definition of vision and roadmap for the Data & AI stream
• Ownership and management of the roadmap for the Data & AI stream
• Generation, qualification and delivery of improvements for the Sportsbook Data & AI domain
• Quality assurance of prioritized use cases

• Definition of vision and roadmap for the Data & AI stream
• Ownership and management of the roadmap for the Data & AI stream
• Quality assurance of prioritized use cases in the Sportsbook Data & AI domain
• Management of the team of product managers and product owners within the Data & AI domain

• Definition of vision and roadmap for the Data & AI stream
• Ownership and management of the roadmap for the Data & AI stream
• Generation, qualification and delivery of improvements for the Sportsbook Data & AI domain
• Quality assurance of prioritized use cases

• Design, develop, review, and test features and user stories following Agile development practices
• Contribution to core platform development and integration projects across multiple systems
• Shaping the future architecture of the product including designing scalable backend services and prototypes

• 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

• üzleti és technikai adatforrásokból származó adatok összegyűjtése, tisztítása és strukturálása
• adatmodellek kialakítása (DWH szemlélettel), adatstruktúrák felépítése
• komplex SQL lekérdezések és adattranszformációk készítése, teljesítményoptimalizálása

• 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

• Design and implementation of the server architecture of the flagship product iREMS
• Finding solutions and developing to production stage for complex problems
• Collaboration with teams in Budapest and Oradea ensuring constructive communication

WHAT YOU CAN EXPECT IN THIS ROLE (IN SENTENCES)   You will support the daily administrative and operational tasks connected to MOL’s fuel export–import processes. You will cooperate with the Group Fuels Trading team and other internal stakeholders while learning the fundamentals of international...

• End-to-end management of contracts, subcontracts, and related legal agreements
• Initiation of contracts
• Negotiation of contracts
• Execution of contracts
• Acceptance of contracts
• Ongoing administration of contracts
• Oversight of contract negotiations and approvals

• Writing production-quality, well-tested scraper code in Python
• Learning the architecture of the collection platform including scrapers, proxy layer, queues and enrichment API
• Debugging issues across multiple components using logging, monitoring and alerting tools

• Drive and support business development gaining new SAP projects in various industry sectors
• Acting as an professional project lead in SAP implementation and transformation engagements
• Taking part in SAP implementation projects

• Project requirements gathering
• Project resource responsibility assignment
• Project charter documentation creation
• Project schedule preparation and resource assignment
• Project risk identification and mitigation planning
• Communication plan crafting and coordination

• Analysis of business requirements and translation into functional SAP SD solutions and Customizing
• Development and refinement of solution designs in cooperation with SAP SD solution architects
• Ownership of assigned SAP SD topics and support through implementation, testing, and deployment

• Design and development of interactive 3D, XR, and digital twin applications
• Creation of immersive visualization experiences for industrial, engineering, facility, and enterprise use cases