Python developer állások XIII. kerületben középiskolai végzettséggel

• 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

• Owning and improving CI/CD pipelines (build, deployment, automated test execution) to ensure reliable and fast feedback cycles
• Creating, maintaining, and monitoring regular debug and release builds across development and release branches

• Adatelemzési feladatok
• Adatminőség vizsgálat és javítás
• Adatbetöltés végrehajtása
• Adatbetöltés monitorozása
• Eredmények értelmezése (ETL)
• Közép-európai Deloitte könyvvizsgálói csapatok támogatása
• Könyvvizsgálati adatelőkészítés támogatása
• Komplex nem statisztikai adatelemzési feladatok ellátása

• 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)

Performing tasks related to the position....

• Building end-to-end web solutions from UI to backend
• Leading and contributing to development efforts across the full stack
• Design and implementation of web applications using modern frameworks and best practices
• Translating business and user needs into intuitive, scalable technical solutions

• 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

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead 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

• Work with Android source code and build system
• Develop, customize, and maintain Android BSP components
• Modify and improve Android platform components
• Develop, integrate, and maintain Android HAL components
• Collaborate with hardware teams for platform bring-up and hardware integration

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

• Hiteligénylési és számlavezető rendszerek napi szintű alkalmazás üzemeltetési feladatainak ellátása két műszakos munkarendben (nappali és éjszakai ügyeleti rendszerben)
• Unix/Linux illetve Azure alapú rendszereken rendszerintegrációs feladatok elvégzése

• Design and develop automation frameworks across frontend, backend, desktop, API, and data-driven systems
• Establish testing patterns and best practices for long-term maintainability
• Develop and maintain automated UI and end-to-end test suites using Playwright or Cypress

• Shaping AWS-based cloud architectures and technical decisions for SaaS, PaaS, web application, and enterprise cloud environments
• Design and implementation of Infrastructure as Code solutions using Terraform, AWS CloudFormation, or Pulumi

• Design, build, and maintain modern web applications across the full stack
• Develop rapid prototypes and proof-of-concepts to validate business ideas
• Build AI-powered applications using modern LLM technologies, APIs, and cloud services

• Optikai hálózatok üzemeltetéséhez szükséges műszaki nyilvántartó rendszerek, adatbázisok, Autocad rajzok naprakészen tartása
• Optikai szakági tervdokumentációk műszaki tartalmának ellenőrzése
• Közműegyeztetési folyamatok támogatása
• Hatósági engedélyeztetés támogatása