Python programozó diákmunka állások IX. kerületben (it programozás, fejlesztés)

• AI/LLM alapú alkalmazások tervezése és fejlesztése Python környezetben.
• Generatív AI megoldások integrálása és skálázása vállalati környezetben.
• AWS alapú AI szolgáltatások kialakítása és fejlesztése.
• 2–3 fős fejlesztői csapat szakmai vezetése és mentorálása.

• Design, build, and maintain scalable data pipelines using Python, SQL, and cloud-native data services.
• Develop and manage data transformation workflows with dbt and Apache Airflow.
• Build and optimize batch and streaming data processing solutions using distributed frameworks and messaging platforms.

• on-premise SuSE Rancher Kubernetes és kapcsolódó rendszerek (infrastruktúra) üzemeltetése
• on-premise SuSE Linux, KVM, Oracle Linux üzemeltetés, beleértve a HW szintet is
• on-premise Nexus, Gitlab, Splunk, Trivy és Aqua scanner infra alkalmazás üzemeltetés

Vizualizáció és döntéstámogatás: Interaktív Dashboardok és riportok készítése, ahol a vezetők valós időben követhetik a cég fő mutatóit, amelyek közvetlenül támogatják a döntéshozatalt. A keletkező nagy mennyiségű adat tisztítása, rendszerezése, értelmes, emészthető és számszerűsíthető...

• End-to-end AI/ML alkalmazások fejlesztése és üzemeltetése: fejlesztés → üzembe helyezés → éles üzem támogatása
• Modell - és adatpipeline - ok felépítése több adattípusra: táblázatos adatok, NLP, képfeldolgozás, idősorok, online learning területeken

• Define and execute test strategies across the full stack: backend APIs (FastAPI), frontend UIs, and agentic workflows.
• Define testing standards and frameworks that enable developers to own unit and integration test coverage, in line with a shift-left quality model.

• 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

• Design, develop, and maintain enterprise-scale distributed applications using Java/J2EE technologies
• Build and support real-time data interfaces and backend services
• Translate business requirements into scalable technical solutions and system architectures

• Development and enhancement of quantitative financial models
• Application of advanced technologies to real world financial problems
• Keeping up to date with the latest technological trends

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• Design, develop, and maintain C-based applications in Linux/UNIX environments
• Work with system-level interfaces (POSIX APIs, processes, file systems, sockets)
• Develop and enhance Kerberos authentication systems and related tooling

• 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

• Develop and maintain our python-based model-agnostic AI agentic backend, managing connections between plugins and other components of the system
• Create and develop a plugin infrastructure of agents, MCPs, skills of our internal and external services under our core platform

• 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 Integration

• 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

• Guiding customers in adoption of NVIDIA's compute, networking, and software stacks
• Delivering end-to-end GenAI and Agentic AI solutions
• Sharing knowledge through demos, proof-of-concepts, papers, and developer blogs
• Collaborating with executives and engineering to solve complex problems

• Dashboard development for sustainability data visualization
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting collaboration with sustainability team
• Data analysis to identify trends and insights supporting sustainability initiatives

• Algorithm design and implementation for sensor data processing and analysis
• Algorithm creation for transforming sensor data into actionable insights
• Development of preprocessing techniques for raw sensor data
• Algorithm optimization for performance and scalability

• 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