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

• Convey knowledge of the Instructure learning platform to clients and serve as an expert for Instructure products
• Coordinate client projects on key initiatives and provide best practices and guidance to achieve the desired results of those key initiatives

• 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

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...

• 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

• 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 located in Budapest and Oradea to ensure constructive communication with co-developers and consulting/support teams

• 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

• End-to-end AI solution ownership
• Partnership with product managers and business stakeholders for problem translation
• Independent planning and execution of research and experimentation
• Design of AI solutions with system-level perspective

• 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

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

• Building skills in product management through a tailored learning program
• Executing on real problems in product management
• Working on own projects/products during the 12 week tailored programme
• Spending time on dedicated sessions to learn about product management
• Working on domain team projects

• Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

• Client-facing communication
• Participation in pre-sales discussions
• Collaboration with sales and customer success teams
• Communication with clients' technical teams
• Solution design and delivery
• Design and configuration of data labeling and processing pipelines using Python-based tools

• Turning data science and AI experiments into production-ready, scalable solutions
• Developing and deploying Generative AI solutions including LLMs and Diffusion Models
• Designing and implementing data models and flows including ETL, embedding models and vector databases

• 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

• 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.

• Definition of end-to-end scalable, resilient and efficient architectures for advanced AI systems
• Collaboration with delivery teams to translate architectural designs into work items
• Identification and resolution of architectural challenges during project execution

• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

• 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

• Contribute to MDM strategy development
• Contribute to IT projects, developments to ensure the satisfaction of stakeholders
• Lead the professional execution of solution design, implementation and unit testing activities
• Participate in ERP related projects as Developer

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