Javascript állások XXIII. kerületben (ai és automatizáció)

• Development of the Tulip OS
• Maintenance and support of bootloader, kernel, and userspace development for Tulip hardware
• Working alongside product management and customers to identify key features and product performance
• Contributing to strategic planning

• Ownership and evolution of Tulip’s Cypress + TypeScript E2E automation framework
• Integration of automated test suites into CI/CD pipelines
• Research and implementation of load and performance testing strategies
• Application of AI-assisted tools to accelerate test generation and triage failures

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

• Partner with engineering teams to identify the highest-leverage AI opportunities in the developer workflow
• Own foundational architecture and standards for how agents model releases and internal tools are evaluated and deployed internally

• Backend and frontend development with focus on high-performance and speed
• Cooperation with product team including UX, UI, and product management
• Building and coding backend in Node.JS and frontend in React in a complex web application
• Participation in and conducting code reviews

• Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures
• Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers

• Design and write clean, scalable Python code to solve challenging, real-world problems
• Build and maintain APIs and data pipelines using FastAPI, SQLAlchemy, and Pandas
• Support and integrate machine-learning workflows into production systems

• Design and implement algorithms to process and analyze sensor data from sources like LiDAR, images, and satellite imagery
• Create algorithms to transform sensor data into actionable insights such as reconstructing 3D models, segmenting spatial data, or detecting environmental features

• Delivery on complex projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

Assess and document downstream impact of Skills and Job Architecture data quality issues across payroll processing, management reporting, third-party integrations, and AI/machine learning model inputs...

• Responsibility as expert for Power Platform as a managed tool/service
• Development, support and maintenance of Power Platform solutions and connected services
• Driving SharePoint Online and Microsoft 365 migration, modernization, and transformation initiatives

Ready to fast‑track your career and take on real global challenges? ...

• Delivery of complex data engineering projects across industries
• Leading small delivery teams
• Management of customer relationships alone or with a Project Manager
• Supporting pre-sales process
• Mentoring more junior engineers
• Contributing to hiring best-in-class data talent

• Working on the next generation vehicle's self-driving software
• Development of the internal data distribution and execution framework
• Integration of third-party frameworks
• Sensor data recording related tasks
• Development of human-machine interfaces and data visualization tools

• Building and optimizing inference pipelines for large-scale model serving
• Working with frameworks like PyTorch, TensorRT, and vLLM to deploy models efficiently
• Implementing and optimizing ML models using techniques such as quantization, kernel fusion, and efficient batching

• Leading engineering teams responsible for platforms, tooling and capabilities enabling application teams to build, deploy, observe and operate software reliably
• Leading approximately 10–12 engineers across Delivery and Observability

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Ipari épületautomatizálás nyomvonalkiépítése és elektromos bekötése
• PLC és DDC vezérelt elosztószekrények gyártása és beüzemelése
• Projekt helyszíni feladatok megoldása
• Séma rajzok olvasása és ellenőrzése a gépészeti rendszereken

• Üzleti folyamatok és működési kihívások elemzése automatizációs és alkalmazott MI szempontból
• Automatizációs és MI felhasználási esetek (use case-ek) azonosítása, kidolgozása és priorizálása
• Üzleti igények strukturálása, üzleti és funkcionális követelmények meghatározása

• 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 of approaches to handling occlusion and recovery in fast-paced sports scenarios