Python developer állások, munkák adatbázisszakértő kategóriában

• 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)...

• An agile work environment with the possibility to work on various tasks for frontier research on medical applications
• A dynamic, motivated, diverse team with a large and active student community
• A modern office culture mixed with flexible working hours

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

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

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

Setting technical direction across teams Driving AI-native and cloud-native architecture and long-term system evolution Leading design of secure, scalable MCP hosts and AWS microservices Balancing performance, reliability, and cost in system design Influencing AI adoption through AI first solution...

• 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.