Python programozó állások, munkák adatbázisszakértő kategóriában

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

Daily operations ensuring seamless and timely data flow to product pages Identification of opportunities to enhance data pipelines and alerting mechanisms Collaboration with internal and external teams to resolve issues and deliver tactical and strategic initiatives Application of quality...

• You will build customized automation solutions for ZEISS customers that need support for special electron microscopy applications
• Typically, these solutions encompass a completely automated electron microscopy workflow from image acquisition to the image analysis

Lead and manage a global team of data scientists, ML engineers, and AI researchers, setting technical direction, ensuring quality, and fostering a strong culture....

Play a key role in shaping Group-wide data governance by ensuring data is trusted, discoverable, and responsibly used across the organization, with a strong focus on the Group Data Catalog (Data Galaxy)...

Managing complex database systems within a global technology ecosystem Building and managing Database hosting capabilities using Infrastructure as Code for all platform needs Building Database Infrastructure Platforms with developers and providing guidance and tooling to handle distributed systems...

• Design, implement, and manage document embedding storage solutions
• Develop and optimize processes for efficient information extraction from documents, including handling complex nested structures, to create
• and populate databases for our advanced chatbot applications

Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform Collaboration with the Architect in design discussions and proposals Building robust, scalable pipelines using Azure Databricks (PySpark / SQL) Integration of data ingestion, processing,...

• A two-stage qualification program
• Duration of the company phase: up to twelve months
• Personal mentoring

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

• You will take overall technical responsibility for complex, cross-functional AI initiatives – from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

Taking over a role of senior responsibilities in the research activities of LRZ's BDAI team, addressing the enhancement of current and development of future LRZ AI service offers. Here you will be initiating and contributing to research projects, their preparation, applications for funding and...

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

As a research engineer you will develop innovative methods for the validation and release of complex AI models, including probabilistic, generative, and large‑scale models....

What you`ll do: You'll build autonomous operations capabilities within the “Apeiro Reference Architecture” ApeiroRA as part of the EU's IPCEI-CIS initiative to strengthen Europe's digital sovereignty, solving complex challenges that eliminate manual incident response, and enable predictive...

• Contribute to research on video-based machine learning methods
• Develop and evaluate models for semantic video understanding (e.g., Object interaction in video, dynamic scene understanding, semantic segmentation)
• Work with real-world datasets and problem settings from ZEISS applications

• Familiarize with the state-of-the-art in pose estimation and tracking applications
• Development of the hardware experimental setup based on the use-case
• Implementation of prototype solutions relying on methods from both geometric and/ or deep learning methods in computer vision and robotics

• Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data.
• Work with ERP Data: Integrate and model data from ERP systems and finance tools, including accounting, controlling, procurement, revenue, and cost data.

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...