Python programozó állások II. kerületben (it programozás, fejlesztés)

• 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

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

• Design, implement, and maintain data warehouse solutions
• Build robust ETL pipelines to ingest and transform data from various sources into target storage (cloud, data lake, warehouse), ensuring data integrity

• Build and maintain internal tooling and UIs — workflow dashboards, content review interfaces, and evaluation visualization.
• Develop backend APIs using Typescript and Node.js that integrate with the agentic workflow platform.

• Learn data engineering principles
• Learn to design and implement ETL processes and pipelines
• Work with SQL, Python and different programming languages and notebooks
• Learn Power BI report building, Data Bricks and various ETL tools

• ETL folyamatok tervezése, fejlesztése, optimalizálása
• Adatáramlási rendszerek üzemeltetése és finomhangolása
• Skálázható adattárházak és adatpiacok kialakítása
• Logikai és fizikai adatmodellek létrehozása
• Sémadefiníciók karbantartása, fejlesztése
• Interaktív műszerfalak és riportok készítése

• Adatmigrációs folyamatok áttekintése, fejlesztések kivitelezése
• SQL, PowerShell, Python programozói feladatok ellátása
• Üzleti folyamatok feltérképezése, hatékonyságának javítására való javaslattétel
• Fejlesztési specifikációk elkészítése, fejlesztési dokumentáció
• Ellenőrző, támogató riportok készítése

• Keep our data pipelines healthy — monitor Databricks jobs daily and check infra health dashboards.
• Run predefined diagnostics and flag unusual behaviour with clear documentation.
• Do first‑level troubleshooting — reading logs, checking error codes, running SQL validations.

• Keep our data pipelines healthy — monitor Databricks jobs daily and check infra health dashboards.
• Run predefined diagnostics and flag unusual behaviour with clear documentation.
• Do first‑level troubleshooting — reading logs, checking error codes, running SQL validations.

• Writing and maintaining Python-based automated system and regression tests
• Expanding automated regression coverage and improving stability of test execution
• Evaluating daily automated test results and handling failures
• Owning and driving system-level testing activities within a Scrum team

• Design and implement ETL processes
• Develop and maintain data pipelines to ingest, transform, and load data from various sources
• Ensuring development tasks to support new release of the project/solutions
• Support production issues, or requests
• Ensure data quality and integrity throughout the ETL lifecycle

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT

• 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.

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 Develop microservices-based applications...

Working on the next generation vehicle's self-driving software Integration of third party frameworks Development of the internal data distribution and execution framework Development of interfaces to aiSim (in-house sensor and vehicle simulator) Sensor data recording related tasks Development of...

Development and issue resolution of in-vehicle data recording software Development and issue resolution of software for Upload Station Development and issue resolution of data preprocessing software Development and issue resolution of data migration software from previous data formats Development...

Maintenance of the Tulip Operating System including building, packaging, and support Configuration and maintenance of routing, networking, and device configurations Maintenance and addition of bootloader, kernel patches, and device trees on Tulip hardware Porting the Tulip OS to other hardware...

Formal verification algorithms usage to prove correctness of complicated logic problems Identification of key behaviors for verification to write clear testplans for complex designs Implementation of testplans using innovative formal techniques Driving tools to realize their best performance...

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 Solving complex problems in low-latency...

Fejlesztés és karbantartás magas rendelkezésre állású, grid alapú kockázat- és szcenáriórendszerek Felhőalapú natív megoldások optimalizálása több szolgáltatónál Teljes fejlesztési életciklusban való részvétel (fejlesztés, tesztelés, telepítés) agilis módszertanok alkalmazásával Szoros...