Information analyst állások Németországban (it programozás, fejlesztés)

• 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 and implement AI solutions within SAP systems to enhance business processes and decision-making.
• Design and deploy scalable, secure, and high-performing AI powered applications on SAP BTP.

• Architect and implement AI solutions within SAP systems to enhance business processes and decision-making.
• Design and deploy scalable, secure, and high-performing AI powered applications on SAP BTP.

• 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

• Encourage “thinking big” and holistic approaches towards solution building;
• Create an inclusive atmosphere where assorted opinions, ideas, personalities and work styles are recognized and respected;

Support the assessment of current customer solutions from SAP and potential areas of opportunity for faster solution adoption & consumption, as well as footprint expansion....

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts....

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts....

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts....

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts....

• 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

• development of computational methods and processing pipelines for large image datasets
• application of existing and development of new analytical and ML solutions
• data visualization and communication
• work in close collaboration with our medical collaboration partners

• Support the setup, administration, and optimization of SharePoint sites.
• Assist in the migration and restructuring of data, including replacement of existing Confluence / Wiki environments.

• 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

• Independent risk reviews within the bid phase
• Execution of risk assessments as part of the hand over process
• Operative risk management and risk assessment
• Ensuring that risk mitigation activities are executed and followed
• Quality Assurance reviews on selected processes
• Financial monitoring of projects