Engineer állás, munka

• 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

• Design, development, and continuous improvement of the Data Warehouse environment 
• Development and optimization of ETL processes
• Administration and operation of complex SQL cluster environments 
• Re-engineering and modernization of existing SQL cluster architectures

• Design, build, and maintain robust data pipelines that are scalable, efficient, and meet business needs
• Collaborate with cross-functional teams to understand and translate business requirements into data solutions

• Ensuring development tasks to support new release of the project/solutions.
• Groom user stories with PO
• Estimate uses stories and their tasks
• Support production issues or requests
• Experience in all phases of software development lifecycle of DevOps

• Learn devops principles
• Design and implement CI/CD pipelines
• Work with Ansible, Docker and Kubernetes and various PaaS solutions
• Study large scale, cloud native software architectures
• Gain experience working in agile DevOps methodology
• Gain experience working at a fast-growing, truly colourful company

• Learn QA/testing principles
• Design and implement automation end to end tests
• Work with Playwright or similar testing frameworks
• Learn large scale, cloud native software architectures
• Work in agile development methodology
• Gain experience working at a fast-growing, truly colourful company

• 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

• Az Oktatási Hivatal új munkatársakat keres senior szoftvertesztelő munkakörbe AI tesztelői tapasztalattal.
• üzletileg kritikus, komplex alkalmazások teljes körű tesztelése;
• Új és meglévő rendszerek frontend és backend oldali manuális tesztelése;
• Tesztesetek tervezése, dokumentálása, karbantartása;

• Tesztesetek tervezése a követelmények alapján a csapattagokkal együttműködve
• Hibák rögzítése, a javítási folyamat támogatása, visszaellenőrzése
• Tranzakciós szimulátorok használata
• Kártyatársasági tesztekben való részvétel
• Belső interface-ek tesztelése

• IT-adatelemzés
• Data scientist feladatok
• Csapatmunka, projektfeladatok
• Alkalmazásfejlesztés
• Feladatok automatizálása
• Gépi tanulási modellek elkészítése

* Gyártásfelügyeleti megoldások létrehozásának érdekében a MES alkalmazások fejlesztésében vehetsz részt Tulip platformon * MES funkciók fejlesztésében és bővítésében is kipróbálhatod magad a gyártosorokon beleértve a hardverintegrációt, folyamatoptimalizálást és automatizálást * Az ERP és PLM...

Solving real production issues on an AI clinical toolset – configuration problems, connectivity issues, and system failures that need immediate resolution Developing new features and internal tooling to improve the platform and reduce future issues Building and maintaining RESTful APIs and backend...

Building a world-class AI platform designed to be deployed across diverse sectors and functions Developing transformative technology for the firm Working within a product team of engineers, designers, and product managers to develop impactful AI solutions Combining software and data engineering...

Creation of Python code, tests, creation and modification of GitHub Action CICD pipelines Working with AWS-based infrastructure and Docker containers Deploying, debugging, and running systems Delivering and scaling AI solutions by embedding into cross-functional teams Deploying assets on client...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

AI megoldások fejlesztése: Skálázható alapfunkciók építése SaaS termékünkhöz Python (FastAPI) és React segítségével, GenAI és RAG munkafolyamatok kiszolgálására....

Supporting the development of a stable and scalable Kotlin and Spring Boot back-end from the ground up Collaborate closely with our Customer Support (L1) and Infrastructure Support (L2) teams to efficiently manage escalations- helping identify, troubleshoot, and resolve operational issues that keep...

Work with clients and the global Orchestro team based in Budapest office Join a cross-functional squad owning an end-to-end slice of Orchestro platform Anchor high-impact initiatives bridging product vision with technical execution Partner with stakeholders to prototype solution options, articulate...

Work with clients and the global Orchestro team. Join a cross-functional squad owning an end-to-end slice of Orchestro, McKinsey’s SaaS platform. Translate user problems into technical solutions and help steer the squad’s roadmap. Pair-program with teammates, coding, testing, and releasing Node.js-...

Design predictive models Conduct large-scale experiments Uncover insights that inform decision-making Define and develop ontologies and knowledge graphs to connect and contextualize enterprise data Establish data standards and maintain data quality Operationalize models and graph services at scale...