Python állás, munka

• Digitalizációs problémák megoldása kereskedelmi és ipari szektorban dolgozó ügyfelek számára zöldmezős webes applikációk és mobil app-ok backend fejlesztése
• Szoftverek teljes architektúrális tervezésében és kialakításában való részvétel senior jelölt esetén

• 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

• 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

• Az autóipari szoftverfejlesztő mérnökök munkájának támogatása.
• Meglévő szoftverek és alkalmazások karbantartása, fejlesztése.
• A fejlesztések dokumentálása és a folyamatok nyomon követhetőségének biztosítása.

•  Alkalmazások és automatizálási megoldások fejlesztése
•  Microsoft Power Platform (Power Apps, Power Automate) használata
•  Makrók, scriptek és No-Code / Low-Code megoldások készítése
•  Vállalati folyamatok optimalizálásának támogatása

• Building scalable, maintainable automation frameworks across frontend, backend, desktop, API, and data-driven systems
• Establishing testing patterns and best practices for long-term maintainability
• Developing and maintaining automated UI and end-to-end test suites using Playwright or Cypress

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases

Project specific intro: Join a cybersecurity and AI project supporting Siemens Cybersecurity Governance, Risk & Security (CYS GRS ARC). You will work on the further development of the AIGIS System, an AI-powered platform that helps Siemens employees respond to customer cybersecurity questionnaires...

• 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

• 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

• Design and develop robust, scalable backend components using Java and the Spring framework
• Contribute to the redesign and modernization of a legacy Python-based system
• Contribute to API design, system architecture, and performance tuning for the team’s services

• Development and deployment of AI-powered applications from prototype to production using modern LLM frameworks and APIs
• Design of evals and metrics measuring real-world performance including accuracy, latency, UX quality, and safety

• 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

• Managing complex database systems within a global technology ecosystem
• Building and managing database hosting capabilities using Infrastructure as Code
• Building database infrastructure platforms with developers
• Providing guidance and tooling to handle distributed systems

• Support the implementation and ongoing improvement of digital services and solutions for business customers
• Define and maintain development, testing, and operational standards to support continuous delivery
• Design, build, and maintain tools for deployment, monitoring, and operations

• Development of the Tulip OS
• Maintenance and support of bootloader, kernel, and userspace for Tulip hardware
• Identification of key features and product performance
• Contribution to strategic planning
• Maintenance of the Tulip Operating System including building, packaging, and support

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives

• Client-facing communication
• Participation in pre-sales discussions
• Collaboration with sales and customer success teams
• Communication with clients’ technical teams
• Solution design and configuration of data labeling and processing pipelines

• Software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms
• Creation of software stacks for Arm’s reference platforms for future Arm devices
• Development of test code for software stacks

Az Agentic AI Platform célarchitektúrájának meghatározása és fenntartása (agent runtime, orchestration, tool integration, MCP szerverek, modellhozzáférés, RAG, memória, guardrail-ek, observability, fejlesztői enablement)...