Python programmer állások VII. kerületben (programozó, fejlesztő)

Research, development, implementation, and testing of artificial intelligence algorithms to improve the quality and robustness of the static world model in automated vehicles...

• Owning and delivering complex C++ features across the full development lifecycle [design, implementation, review, maintenance]
• Driving code quality improvements and reducing technical debt through refactoring and pragmatic modernization

• Algorithm Design And Implementation For Sensor Data Processing And Analysis
• Algorithm Creation For Transforming Sensor Data Into Actionable Insights
• Technique Development For Preprocessing Raw Sensor Data
• Algorithm Optimization For Performance And Scalability

• Architecture of Cloud-native AI Applications Integrating LLMs, Vector Search, and Real-time Data
• Design of End-to-end Web Solutions from Frontend to Backend
• Implementation of RAG Pipelines, Model Serving, and AI Agents in Production
• Leadership of Cross-functional Teams (Full-stack, AI, Data)

• Design and implement new market links and connectivity tools
• Improve and maintain existing high-load, low-latency C++ applications
• Latency reduction to optimize trading performance
• Ensure operational excellence and reliability of systems as they scale

• Development and optimization of algorithmic trading systems
• Writing clean, high-performance code in C++ or Rust
• Collaboration with engineers and quants to deliver robust, scalable trading infrastructure
• Contribution using Python for scripting or tooling tasks

• Design and implement new market links and connectivity tools
• Improve and maintain existing high-load, low-latency C++ applications
• Latency reduction to optimize trading performance
• Ensure operational excellence and reliability of systems as they scale

• Developing scalable library software using modern tools and languages for various numerical method
• Performance tuning, optimization, and benchmarking of algorithms on various architectures

• Architecture of Cloud-native AI Applications Integrating LLMs, Vector Search, and Real-time Data
• Design of End-to-end Web Solutions from Frontend to Backend
• Implementation of RAG Pipelines, Model Serving, and AI Agents in Production
• Leadership of Cross-functional Teams (Full-stack, AI, Data)

• Design, develop, and maintain multimedia middleware components
• Build, integrate, and optimize GStreamer-based audio/video pipelines
• Integrate media components with user-space applications and system services
• Debug and resolve complex media issues related to performance, stability, and synchronization

• Software engineering for complex systems
• Networking device software development
• Python development for networking devices
• Development of BSP, data plane or control plane protocols for networking devices
• Development of data path automated tests for network devices using Python/Pytest

• Work With Android Source Code And Build System
• Develop Android BSP Components And Platform Integrations
• Modify Android Platform Components For Project Requirements
• Develop And Maintain Android HAL Components
• Collaborate With Hardware Teams For Platform Bring-Up And Integration

• Full stack Java fejlesztés magas rendelkezésre állású egyedi rendszereken
• Moduláris alkalmazások és saját termékek fejlesztése, üzemeltetése pénzügyi és energetikai területen
• Architektúra tervezés, modularizáció és fejlesztési konvenciók kialakítása

• Direct line management, coaching, and career development for a team of Full-Stack Engineers
• Performance management and professional growth fostering
• Fostering a culture of technical excellence

- meglévő AI/ML rendszerek fejlesztése és optimalizálása - LLM-alapú megoldások (chatbot, MCP, fordítási pipeline-ok) integrálása és karbantartása - ML modellek és adatfeldolgozási lépések finomhangolása - Dokumentáció és kisebb technikai döntési javaslatok készítése...

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment
• Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation

• Hatékony, üzleti célokra optimalizált promptok és agentek készítése (Google Gemini Enterprise és MS Copilot)
• Komplex üzleti kérdések strukturálása AI-használatra
• AI-outputok értelmezése, finomhangolása és validálása
• Meglévő promptminták testreszabása különböző üzleti területekre

• ETL Framework Development
• Pipeline Optimization
• Modern Engineering Practices Application
• Infrastructure & Automation

• Develop, enhance, and maintain financial clearing and settlement applications built primarily on Oracle database technologies
• Design and implement database‑centric solutions using Oracle SQL and PL/SQL
• Build and support applications using Oracle APEX, applying HTML, CSS, and JavaScript