Javascript állások X. kerületben (ai és automatizáció)

• 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

• 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

• 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

• 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

• Belső felhasználói igények kezelése (megoldás tervezés, fejlesztés, tesztelés)
• Beágyazott ipari szoftver fejlesztése biztonságkritikus rendszereken
• Követelményelemzés, design, SW implementáció, analízis, tesztelés

• 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

• Design, implement, and optimize compiler passes and transformations using LLVM/Clang or GCC
• Build and maintain robust toolchains
• Support new and complex architectures in compiler backends
• Work on architecture-agnostic and IR-level optimizations
• Work on silicon specific optimizations

• Coordination of strategic and operational initiatives across the PMO portfolio
• Management of lifecycle updates for PMO governance processes, standards, templates, and documentation
• Support of project intake, tracking, reporting, and execution activities

• 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

• 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

• 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

• Frontend development leadership of the application
• End-to-end feature delivery for web and mobile applications
• Occasional backend development
• Development using frontend stack: React, React Native, Expo, Next.js, TypeScript, Supabase, React Query, Tailwind (NativeWind), React Native Reanimated, Skia

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

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...

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform
• Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring

• Design, build, and deliver scalable full stack solutions using Angular, TypeScript, C#/.NET, and AWS
• Own features from concept through deployment, monitoring, support, and continuous improvement

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Architect and deliver AI/agentic product features including LLM integrations, multi-step agentic workflows, tool-use patterns, RAG pipelines, and intelligent automation

• Design and evolve robust cloud-native services and platforms with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration
• Influence technical direction without direct authority by identifying architectural pain points and improving engineering standards

• Designing and developing new machine learning models with a focus on real-time performance
• Integrating cutting-edge ML features into the SkeleTRACK product
• Analysing model performance and identifying areas of improvement
• Mentoring junior engineers and driving technical discussions