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End-to-End Data Lifecycle Ownership: Lead the design and implementation of tracking strategies that cover the entire lifecycle: from initial requirements gathering to Generation, and finally to automated Validation....

Focus on the medical applications of our ORBIS hospital information system, you will be responsible for customised configuration using our development tools (ORBIS Form Designer, ORBIS Medical Query Generator, ORBIS Experter, Jaspersoft® Studio, ORBIS U-Composer)...

• Definition and execution of the MDM transformation roadmap, transitioning from a complex carve-out environment to a streamlined PE-backed operating model
• Establishment of a scalable and pragmatic MDM framework aligned with business priorities

• In this role, you advise the Vaillant Group department Supply Chain – Logistics and implement designed solutions within the SAP S/4HANA landscape
• You implement and further develop processes and applications within the area of transportation management

• Modeling deformation fields using Gaussian primitives / Gaussian Splatting or related representations
• Integrating deformation models into reconstruction and alignment methods
• Implementing efficient, differentiable algorithms in Python with PyTorch
• Evaluation on simulated and experimental cryo-ET data

• Investigate and resolve data inconsistencies across complex end-to-end data pipelines
• Automate complex analytics across large datasets to validate outputs and identify anomalies or inconsistencies
• Debug pipeline failures and improve overall pipeline robustness

Manipulating and analyzing complex, high-volume and high-dimensional data to gain insights by using appropriate data analysis techniques, algorithms and programming languages in close collaboration with subject matter experts...

• Define and evolve data models for R&D entities
• Design and implement robust data pipelines and automated data quality checks
• Improve traceability and metadata management so data can be understood, trusted, and reused across teams

• Support our customers on their transformation to SAP S/4HANA / Intelligent Enterprise.
• Delivery of remote and onsite services together with our experts for global customers with focus on system optimization, conceptual planning as well as empowering the customers with newest best practice knowledge.

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

System Engineer 80 - 100 % (w/m/d) For more than 40 years, Hamilton Medical has shaped the future of mechanical ventilation. We develop Intelligent Ventilation solutions that support clinicians in critical moments. Our Hamilton ventilators are used in intensive care units, during emergency...

• 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

Responsibility for our knowledge management system, from selection and configuration through rollout and sustainable adoption in the relevant teams...

Plan and manage change and enablement initiatives to effectively drive the transformation of support, service delivery, and IT operations teams across the organization...

• You translate CGM's business strategy for your assigned units into a clear, value-driven IT demand and project roadmap.
• You are the primary contact for business leaders on all IT topics, capturing requirements, pain points, and opportunities in a structured way.

• 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.

• Design and implement advanced algorithms across AI, Data, Simulation, Processes, and Quantum Computing
• Lead the technical vision of interdisciplinary R&D projects
• Integrate emerging technologies and mentor young researchers
• Represent TWT at international conferences and forums

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• Support in running IT projects as part of the project team (PMO)
• Assist the project team in the documentation of software requirements, business processes and tests
• Analyse together with the project team business department processes and optimize them
• Help with second level support

Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding....