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

• Design and development of a wide range of learning interventions
• Collaboration with Global L&D, Regional L&D, People, technology, and data teams
• Collaboration with subject matter experts and senior stakeholders
• Development of emerging perspectives on learning development, management, and delivery

• Machine learning és computer vision megoldások fejlesztése járműfelismerési és közlekedési alkalmazásokhoz
• Modellek és adatfeldolgozási folyamatok tervezése, implementálása, tanítása és kiértékelése

• Build and maintain simulation environments for mobile robotic perception and navigation
• Develop and integrate robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• 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

• Identification of highest-leverage AI opportunities in developer workflow
• Ownership of foundational architecture and standards for agent modeling and internal tool evaluation and deployment
• Building and improving onboarding, documentation, and discovery layers for engineers

• A Data Science & Analytics üzletágunk projektjeiben, fejlesztéseiben részvétel változatos iparágakban
• Önálló statisztikai elemzési és modellezési feladatok megoldása (tervezés, becslés, fejlesztés, tesztelés, dokumentáció)

• A Data Science & Analytics üzletágunk projektjeiben, fejlesztéseiben részvétel változatos iparágakban
• Önálló statisztikai elemzési és modellezési feladatok megoldása (tervezés, becslés, fejlesztés, tesztelés, dokumentáció)

• Architect and scale high-performance distributed AI infrastructure on-prem or in the cloud
• Integrate NVIDIA technology into HPC architectures to support scientific and engineering applications
• Champion Deep Learning and Infrastructure among the NVIDIA technical community

• Creation of demo concepts and AI-centric tools based on guidance, customer needs, and platform capabilities
• Support of development and implementation of demos showcasing product value
• Setup and troubleshooting of demo hardware and partner integrations for reliable demo operation

• Design and development of innovative AI solutions
• Collaboration with global technologists, data scientists, and industry experts
• Development of scalable data pipelines
• Building software products and services from the ground up
• Assessment of data landscapes and ensuring data quality

• Support the development and improvement of AI-based document processing solutions.
• Work with business and financial documents and help identify and extract relevant data.
• Train and test Machine Learning models based on document samples.

• 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

• Designing and developing backend services and APIs that support real-time data ingestion, transformation, and delivery
• Building scalable, low-latency, high-throughput systems capable of handling demanding performance requirements

• Building and leading McKinsey's forward-looking capabilities to transform clients' innovation engines
• Bringing distinctive statistical knowledge to complex client Life Sciences R&D challenges through part-time staffing on client studies with a multi-disciplinary team

• 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

• Learning and understanding software feature functionality on a detailed logical level
• Developing a project plan including project scope, release schedule, milestones, deliverables
• Communicating project status
• Articulating a vision and direction to the development team

• Development and customization of Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools
• Building integrations between Dynamics 365 and Azure services such as Logic Apps and Functions

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• Research, configure, and test AI tools including Claude, Gemini, Zapier, and n8n to improve the GTM stack
• Build proof-of-concepts for AI-driven lead research, automated email drafting, meeting summarization, and information hand-offs

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns