Data science állások Németországban (rendszerintegrátor)

• Maintain a configuration management strategy for the EASA Design Organisation Approval
• Oversee the maintenance of configuration management database to ensure accurate and up-to-date information is available for all. Implementation of CM relevant Data in the Configuration Management PLM System

We are looking to recruit, at the earliest possible date, a full-time and permanent SOFTWARE DEVELOPER (M/F/D) FOR SCIENTIFIC APPLICATIONS WITH A FOCUS ON BIG DATA to strengthen our development team at KWS Saat SE & Co. KGaA in Einbeck, Lower Saxony. The role involves replacing an existing...

Use your familiarity with the Kubernetes controller runtime framework and/or modern front-end frameworks such as Vue.js to design, develop, test, and deploy new features for the Gardener Dashboard and gardenctl, the UI and CLI that power our platform....

Solution Development: Design and develop customised solutions within Salesforce to meet project objectives and business goals, ensuring robust functionality and seamless user experiences....

Strategic Blueprinting: Design and maintain the corporate IT enterprise architecture, ensuring seamless connectivity between Commercial and G&A systems and the broader company infrastructure....

Strategic Blueprinting: Design and maintain the enterprise-wide IT architecture, ensuring all new business applications integrate seamlessly into our existing stack....

• Development of firmware for MicroTCA-based motion controller system
• Contributing to system architecture and specifications of firmware modules for scientific data acquisition systems and photon science experiments
• FPGA firmware design using VHDL (for AMD/Xilinx FPGAs)

• Develop and optimize our job data crawling pipeline, ensuring high-quality job data acquisition.
• Implement and refine import mapping, improving data accuracy and classification.
• Support the integration of external data sources via APIs or scraping frameworks.

Architect the ML Platform: Design, implement, and maintain a robust MLOps infrastructure that enables researchers to move seamlessly from local experimentation to global production....

• Analyzing customers' existing landscape from the technology perspective and provide transformation recommendations based on the findings
• Preparing outside-in target architecture based on available guidance and best practice recommendations to accelerate the scoping discussion with the customer

• Take end-to-end responsibility for complex projects or defined areas of ownership
• Act as a senior expert on technical and business topics, driving high-quality solutions
• Work independently, set priorities, and resolve complex cross-functional challenges

• Take end-to-end responsibility for complex projects or defined areas of ownership
• Act as a senior expert on technical and business topics, driving high-quality solutions
• Work independently, set priorities, and resolve complex cross-functional challenges

• Design, develop, and maintain full stack applications within the Workshop Suite, focused on vehicle adjustments and digital consistency checks
• Ensure seamless integration between vehicle-side diagnostic tools and cloud-based services

• Model Research: Conduct research on possible AI models for our use case
• Data Preparation: Assist in curating and preparing datasets of from our database of known errors
• Model Training: Training and fine-tuning the AI agent, ensuring it learns how to accurately detect errors and suggest fixes

You analyse global and local business requirements and design Business Central/NAV solutions that follow established standards while contributing to the global NAV/BC strategy and the ongoing standardization of our ERP landscape....

Use your familiarity with the Kubernetes controller runtime framework and/or modern front-end frameworks such as Vue.js to design, develop, test, and deploy new features for the Gardener Dashboard and gardenctl, the UI and CLI that power our platform....

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• Lead the design and delivery of SAP integration solutions using SAP Cloud Platform Integration (CPI), API Management, and other middleware technologies.
• Develop integration strategies, standards, reusable components, and best-practice guidelines.