Maneger állások Diósdon (programozó, fejlesztő)

• Üzleti igények technikai specifikációvá alakítása
• Technikai tervezés, architektúra kialakítása
• Technológiai irányelvek és architekturális standardek kialakítása és fenntartása
• Feladatok meghatározása a projektmenedzserrel együttműködésben
• Kódellenőrzés (code review), fejlesztések minőségbiztosítása

• Megbízható, valós idejű szoftverrendszerek fejlesztése és karbantartása
• Új funkciók tervezése, fejlesztése és tesztelése
• Autonóm navigációs algoritmusok implementálása
• Szenzoradatok feldolgozása, szenzorok és rendszerelemek integrációja

You will gather and analyze requirements from stakeholders and users, translating them into clear specifications for our development teams....

Leading a high-performing team of 3 to 8 engineers Working across the complete software lifecycle, including requirements, planning, development, release and support and maintenance Developing Linux device drivers and exposing these to application software...

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...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

Collaborate on various full-stack F# web projects Attend regular online status and team calls and/or face-to-face meetings Help your team deliver each iteration on-time and successfully...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Lead and Cultivate Engineering Talent: Provide direct line management, coaching, and career development for a team of Full-Stack Engineers. Provide Hands-On Technical Leadership: Serve as the dedicated Solutions Architect and technical lead on our most strategic and complex cloud-native application...

Integrating delivered components into working embedded systems Debugging firmware, drivers, and application-level issues Adapting and extending example code and reference designs Building internal demos and proof-of-concept applications Giving structured, technical feedback based on real usage...

Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations Implement Infrastructure as Code (IaC) using...

A comprehensive understanding of our production areas, including aseptic production, bottle blowing, and water/syrup manufacturingaseptic and soft sparkling drink production lines, maintenance, utility, quality and continuous improvement. ...

Manage a team of highly skilled engineers focusing on accelerated data processing solutions development Lead and motivate team to conduct projects meeting internal and external customer needs Collaborate with deep learning software engineering community to contribute to and improve open source code...

Programming in languages relevant to AI (e.g., Python, Java) Using modern AI/ML frameworks and platforms (e.g., TensorFlow, PyTorch, Oracle Cloud AI services) Enterprise software development including REST APIs, microservices, and cloud-native architectures Translating business needs into scalable...

Translating business needs into scalable AI solutions Developing enterprise-grade AI solutions Working effectively in a collaborative, multi-disciplinary, and global team environment...

Design, train, and optimize machine learning models for real-world applications. Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, validation, and deployment. Collaborate with data engineers and software developers to integrate ML models into...