Development állások Németországban (adatbázisszakértő)

• Developing parallel and distributed algorithms for processing ultra-large 3D images across multiple GPUs
• Designing and adapting scalable deep learning models for segmentation and landmark detection (e.g. U-Net variants, Transformers)

• Design, build, and maintain scalable data platforms and solutions tailored to business needs
• Collaborate with stakeholders across teams to understand requirements and deliver impactful data initiatives
• Optimize and monitor data workflows to ensure performance, scalability, and reliability

• Develop and maintain Power BI reports and dashboards using DAX and Power Query
• Apply IBCS standards for clear and consistent reporting (a strong plus)
• Review and refine business logic in reporting models to ensure precise and reliable insights

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

Design, development and maintenance of custom data management and scientific analysis solutions, primarily based on script- and workflow-driven approaches...

• 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

• Have end-to-end responsibility, from data exploration to applying state-of-the-art machine learning techniques and building production-ready applications.
• Your work will directly enable innovative solutions in financial crime prevention and credit risk assessment.

• Designing and maintaining the overall software architecture for our metrology systems
• Collaborating with Software Engineering, Hardware, and Product Management to align architecture with technical and business requirements

Collaborate with system architects to contribute to the design of a secure and scalable service platform architecture, considering factors such as data integrity, confidentiality, and regulatory compliance....

Solution expertise: Provide deep data & analytics expertise with standard and tailored demonstrations that showcase value and tie each demo to clear, outcome-oriented use cases....

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers

• Supporting the design, development, and enhancement of Power BI dashboards for EQ functional areas.
• Building data models, data pipelines, and semi‑automated refresh processes.
• Identifying, structuring, and documenting relevant data sources.

Designing and implementing robust software solutions for optimization and quantum algorithms, integrating them into enterprise-grade systems....

• Discussing and clarifying requirements with our internal domain experts
• Design and development of the algorithms that are optimized over various layers of our software stack
• Design and development of the software that interacts with specific hardware components

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

• Development and maintenance of bioinformatics workflows for NGS data analysis
• Exploratory data analysis of large-scale genomic datasets
• Design and execution of independent research projects at the interface of data science and neuroepigenetics
• Contribution to scientific publications and presentations

• Define, design, and guide the implementation of platform solutions that enhance the reliability, security, and scalability of the Database Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for operational data storage solutions.

Design and implement a discrete, structured interface that compresses and semantically organizes perception outputs while preserving information critical for prediction...

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