Python fejlesztő állások VII. kerületben (it programozás, fejlesztés)

Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud Providing mentoring and technical support to junior and medium teammates Acting as a trusted advisor to clients Developing highly scalable services realizing AI/ML functionalities (e.g. NLP, ML...

Kutatás-fejlesztési projektek végigkövetése a tervezéstől az átadásig Beágyazott vezérlők programozása C nyelven Prototípus berendezések beüzemelése Prototípus berendezések tesztelése Belsős és partner cégek villamos-, programtervező-, gépész-, és mechatronikai mérnökeivel való együttműködés...

Writing reusable, testable, and efficient code mainly in Python Delivering great user experience by development of great user interfaces Handling security and data protection professionally and precisely Providing technical solutions and implementing new software features collaboratively...

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 Collaborative work to...

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 Collaborative work to...

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 Design and management of data lakes and Lakehouse...

• 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.

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 Collaboration with engineering, data, and...

Design and implement new market links and connectivity tools Improve and maintain existing high-load, low-latency C++ applications Active latency reduction to optimize trading performance Ensure operational excellence and reliability of systems as they scale Collaboration with engineering, data,...

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...

Guidance in adoption of NVIDIA's compute, networking, and software stacks Delivery of end-to-end GenAI and Agentic AI solutions Sharing knowledge through demos, proof-of-concepts, papers, and developer blogs Collaboration with executives and engineering to solve complex problems Deployment and...

Developing scalable library software using modern tools and languages for various numerical methods Performance tuning, optimization, and benchmarking of algorithms on various architectures Working closely with leadership team and other internal and external partners to understand feature and...

AWS infrastruktúra üzemeltetése és továbbfejlesztése Kapcsolódó alkalmazásfejlesztés támogatása változatos tool stack használatával Szakértő csapat vezetése AWS architect szerep betöltése Megoldások megtervezése üzleti igényekre Csapat felügyelete a megoldásokban Fenntartható és szerethető...

• collaborating on the design and development of ML‑based applications and their backend components
• helping to select the most applicable solutions for a given business problem
• writing clean, efficient and well‑documented code
• contributing to our MLOps processes

Development of highly scalable services realizing AI/ML functionalities Implementation of machine learning solutions for computer vision and NLP use cases Work with Large Language Models (LLMs) and perform prompt engineering tasks Design and implementation of data transformation services for use...

• ORACLE/PostgreSQL/MariaDB adatbázisok telepítése, konfigurálása, frissítése (legalább egy terület üzemeltetési szintű ismerete)
• Adatbázis kiegészítők telepítése, kezelése,
• Több lábas clusterek építése, üzemeltetése (PATRONI HA / RAC – DATAGUARD / GALERA),

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 Optimizing and implementing core ML...

• Design and maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts

• RAG-rendszereket, ügynököket, automatizációkat építeni — Pythonban, TypeScriptben, és néha bármi másban - ami a feladathoz illik
• MCP szervereket írni, és integrálni meglévő stackbe (Slack, Drive, Asana, custom API-k)
• OpenWebUI-t és Pipelines middleware-t testreszabni és deployolni