Python programmer állások, munkák it programozás, fejlesztés területen

• Implementation and improvement of business objects for mobile network infrastructure in backend systems up to the API layer
• Development and maintenance of business objects including data models, backend logic, and APIs

• Analysis and research of cloud-native tools and frameworks for Google Cloud Platform solutions
• Support for the T-Systems Public Cloud Product Management Team in building and defining solutions

• Design, build, and maintain robust CI/CD pipelines
• Manage and optimize cloud infrastructure on T Cloud Public, ensuring high availability and performance
• Administer and troubleshoot Linux and Windows systems in production environments

• On-premise IT infrastruktúra üzemeltetése, támogatása és folyamatos fejlesztése
• Linux alapú rendszerek adminisztrációja
• Kubernetes klaszterek adminisztrációja
• Middleware komponensek adminisztrációja
• Automatizációs feladatok megvalósítása és karbantartása

Design and operate scalable workflows for the ingestion, integration, deduplication and harmonisation of heterogeneous environmental observation and research data, including traceable provenance, metadata enrichment and semantic annotation...

• Development and operation of data pipelines
• Building data layers in OneDataLake (ODL) Central Data Store Consumer (CDSC)
• Balancing business and IT demands to build modern and efficient pipelines in public cloud environments
• Integration of data preparations into managed processes

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

• Architect cloud-native AI applications integrating LLMs vector search and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines model serving and AI agents in production
• Lead cross-functional teams (Full-stack AI Data)

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams (Full-stack, AI, Data)

• Collect, process, and analyze large and complex data sets.
• Support the development and implementation of data analytics solutions.
• Prepare presentations, reports, and visualizations to effectively communicate data findings to stakeholders.

• Design and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settings
• Deploy and operate open-source or open-weight model stacks, model gateways, vector databases, and supporting platform components

• Implement features and workflow enhancements and support the configuration and improvement of ServiceNow modules (e.g., Risk, CMDB, Asset, Change, Incident).
• Help maintain data consistency across Asset, Process, and Risk domains.

• 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

Permanent Contract, Full- or Part-Time, Remote or Cologne / Darmstadt / Düsseldorf / Berlin INFO WHO WE ARE We are the tech powerhouse behind Kaufland's international online marketplaces and a company within the Schwarz Group. Driven by a start-up mentality and working on an equal footing within...

• Shape the future AI & GenAI tech stack at ZEISS by mapping state-of-the-art technology to ZEISS business needs – ensuring scalability, maintainability and cost-effectiveness
• Consult teams in Zeiss Digital Partners and beyond regarding AI & GenAI technologies and implementation

• Develop and Implement: Build and maintain platform solutions that improve the reliability, security, and scalability of our Database Platform infrastructure.
• Operational Excellence: Apply cloud infrastructure, networking, and CI/CD best practices to support our operational data storage solutions.

• Designing OpenStack-based network services on the T Cloud Public platform
• Operating OpenStack-based network services on the T Cloud Public platform
• Further developing OpenStack-based network services on the T Cloud Public platform
• Planning automation initiatives using modern frameworks

• CI/CD pipeline-ok kialakítása, fejlesztése és karbantartása
• Deployment és release folyamatok automatizálása
• Cloud infrastruktúrák üzemeltetése és optimalizálása
• Konténerizált környezetek kezelése (Docker, Kubernetes/OpenShift)
• Monitoring, logging és alerting rendszerek kialakítása és üzemeltetése

• Building, configuring and maintaining bare metal hosts and Kubernetes clusters to run GPU/AI workloads
• Designing and operating NVIDIA AI related software stack (Slurm, Run AI)
• Providing customized application support for AI related workloads

You develop advanced machine learning-based architectures for automated driving functions and shape the way in which we scale our ML development....