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

• Design, implement, and optimize machine learning models to solve complex business problems
• Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring

• Design and development of frameworks and guardrails for ML solutions and products
• Staying updated on industry trends, emerging technologies, and best practices
• Directing exploration and implementation of new AI technologies and methodologies including MLOps

• 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

• Building and refining critical controls to prevent Wise customers from scams
• Driving backend and frontend development for scam prevention and detection systems
• Delivering tangible impact by securing customers' money
• Accelerating product growth by raising automation levels

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...

• 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

• 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

• 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

• Setting the overall vision and direction for the Data & AI stream
• Owning and managing the roadmap for the Data & AI stream
• Ensuring the respective product teams generate, qualify and deliver 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

• Develop and implement new features for RTOS-based and bare-metal systems, including drivers and system-level services.
• Participate throughout the full development lifecycle, from concept to production, including R&D, certification, and production handover.

• Technical leadership of manufacturing execution solutions on Siemens Opcenter Execution Process Enterprise (MES)
• Ownership of middleware architecture and integration layer using Opcenter Connect MOM
• Definition and governance of technical standards, coding guidelines, and architecture decision records

Technical and business support for GSCF applications supporting daily operations, fund accounting, financial reporting, and data processing functions...

• 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

• Design, architecture and implementation of mobile application across iOS and Android
• Building and maintaining the capture layer including camera control, session management, recording and local storage
• Design and implementation of coordination between multiple devices operating as a single system

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

• 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