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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...

• 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

• You work in a young team using state-of-the-art tools on the AP Sensing Edge Platform for Distributed Acoustic Sensing.
• You support the design and implementation of a quality assurance strategy for Rust-based systems, with a focus on performance, functional correctness, and system resilience.

• Develop embedded software for medical devices, ranging from low-level drivers to higher-level functionalities and embedded UI
• Take technical ownership of features and contribute to architecture, design, implementation, and testing

• Definition and driving of the Quality Engineering strategy
• Design, creation and maintenance of reusable test automation frameworks
• Establishment of testing standards and best practices
• Introduction and improvement of CI/CD quality gates
• Building of E2E, integration and API testing capabilities

• Take the lead in high-impact SAP projects, with focus on SAP Cloud ERP transformation journeys from initial idea to successful go-live
• Own the full project lifecycle: scope, timeline, budget, risks and quality – and keep everything on track

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

• Degree in Business Informatics or Business Administration with IT focus, or equivalent IT training with additional qualifications
• Extensive experience of personnel management with proven leadership and mentoring skills alongside an independent, careful, and goal-oriented approach to work

• Build and operate the highly-available, scalable microservices that form the backbone of the SAP Business Technology Platform.
• Architect and implement the central API gateway, handling massive-scale traffic, security policies, and observability for all of SAP's cloud products.

assess the applicability of our system dynamics simulation toolbox to mechanical systems which are not yet in scope of the current toolbox development...

You understand our platform architecture, existing systems and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features....

• Develop both classical algorithms and modern machine learning techniques
• Implement algorithms efficiently on embedded hardware
• Optimize parameters for complex, hybrid image pipelines
• Develop innovative solutions for hardware-constrained challenges

• Design and develop internal tools for R&D users
• Build user-friendly interfaces (web and desktop) for searching, entering, reviewing, visualizing, and managing complex technical data

Information Security & Data Privacy Manager Level of employment: 100% Working place: Allschwil and Home- Office For 26 years, Medgate has been bringing doctors directly to patients 24/7 thanks to telemedicine. At Medgate Switzerland, more than 300 motivated employees - including over 130...

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

• Designing and implementing end-to-end data flows from device data ingestion through transformation, storage and consumption
• Defining data models, structures and lifecycle concepts to ensure data quality, consistency and lineage

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• 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

• Steering of SAP template rollouts in new markets from As-is analysis to the end of the hypercare phase (workpackage lead)
• Steering operational support and stabilization of already live markets.
• Line function projects management and cross functional coordination with IT and internal stakeholders

• Provide end-to-end leadership across projects within the ISP.
• For the various projects, define target application landscapes, integrations, data flows, lifecycle management, and system dependencies.