Maneger állás, munka

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,...

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...

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,...

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...

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...

• 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

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...