Python programmer állások V. kerületben (it programozás, fejlesztés)

• 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

• 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

• 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

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• 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 scalable data pipelines in cloud and hybrid environments
• Contribute to the architecture of enterprise data platforms with a system-oriented mindset
• Work with large-scale datasets using SQL, Spark, and cloud-native tools

• 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)

• Definition and improvement of metrics reflecting product performance, service quality, and operational efficiency
• Analysis of client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance

- 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

• Building and maintaining simulation environments for mobile robotic perception and navigation
• Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Experience in different Data Science topics
• Independent delivery of Data Science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• Web Application Development In A Team Using Newest Technologies
• Implementation Of New Functionalities In Backend And Frontend
• Design And Estimation Of User Stories
• Participation In System Design
• Design Of User Interfaces And Functions
• Participation In Product Roadmap Design

• Native Swift/iOS Application Development
• User Interface and Function Design
• Requirements Gathering Participation
• Project and Technical Planning Participation
• Unit and UI Test Writing
• Developer Testing Participation
• Continuous Learning
• Staying Up-to-Date with iOS Development Technology Trends

• Adatplatformok és adatfolyamatok tervezése, fejlesztése és üzemeltetése a fővárosi adatökoszisztéma igényei mentén
• Adatgyűjtési, -feldolgozási és -integrációs folyamatok kialakítása és fejlesztése, különböző forrásokból származó adatok egységes kezelése és hasznosíthatóvá tétele

• 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

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

• Participation in partner projects building end-to-end web solutions from UI to backend
• Leadership and contribution to development efforts across the full stack supporting technical decision-making
• Design and implementation of web applications using modern frameworks and best practices