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

* 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...

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

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 Prototype solution options, articulate trade-offs, and guide team...

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-...

Building a world-class AI platform designed for deployment across diverse sectors and functions Combining AI capabilities and human judgment to deliver real-world impact Developing transformative technology for the firm Working within a product team of engineers, designers, and product managers to...

Creation of Python code, tests, and modification of GitHub Action CI/CD pipelines Working with AWS-based infrastructure and Docker containers Combining software and data engineering skills to deploy, debug, and run systems Delivering and scaling AI solutions embedded in cross-functional teams...

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...

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

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...

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...

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...

Optimize training and inference pipelines for large language models such as Llama 2, Llama 3, DeepSeek, and GPT-OSS Work on MLPerf Training and/or Inference benchmarks for LLM workloads Profile GPU workloads to identify compute, memory, and communication bottlenecks Improve scaling efficiency...

Üzletileg kritikus AWS infrastruktúra üzemeltetése és továbbfejlesztése Kapcsolódó alkalmazásfejlesztés támogatása változatos tool stack felhasználásával Szakértő csapat vezetése AWS architect és szakmai mentor szerep Megoldások megtervezése üzleti igényekre Csapat felügyelete a megoldásban...