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Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

Product Engineer At Swissquote, we're all in. All in to shake things up. All in to build the bank people actually want to use. All in to make finance less boring — and a lot more powerful. We're Switzerland's leading digital bank — 1,400+ people across Europe, the Middle East and Asia, building...

• Define test strategies for new features, determining what to cover manually and what to automate. Conduct detailed testing of new features, considering how editors will use them.
• Perform cross-platform testing on macOS and Windows, including varying hardware configurations.

• Define and execute the reporting and analytics transformation roadmap (towards lean target setup)
• Establish a scalable target architecture from data source through modelling and semantic layer to reporting frontend

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)...

• Work directly with customers providing expertise on Veeva’s applications and platform
• Configuration of Veeva software under guidance of experienced architects and project leads

• Implementation of technical solutions based on engineering business partner requirements using Python and CIM Database Product Lifecycle Management System
• Work in GIT lab CI/CD environment with Pycharm and JetBrain AI
• Development of add-ons and interfaces to automate and optimize business processes

• Implementation of new features within the Veeva Quality suite at Life Sciences companies
• Solutioning and configuration of Vault applications to meet customer needs including workflows, document types, security, fields, page layouts, notifications

• ServiceNow megoldások tervezése megfelelve üzleti, funkcionális és megfelelőségi követelményeknek
• Szoros együttműködés a Scrum csapattal backlog elemek átdolgozása, követelmények tisztázása és pontos becslések készítése érdekében

• 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

• 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

• 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

• 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...

• Providing technical expertise on Veeva’s applications, Vault Platform, APIs, and Java SDK
• Developing custom code and configuring Veeva software
• Contributing to solution design under guidance of experienced technical and migration architects
• Supporting content and data migration

• 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