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Senior Data Engineer Love what you do – we make employment happen! Turn data into impact! JobCloud connects hundreds of thousands of job seekers with employers every day and behind every product decision is data. As our next Senior Data Engineer, you'll own the warehouse stack that makes that...

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

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

• Lead the Product Management team for Medical Controlling & Coding
• Set and communicate the vision, mission, roadmap and strategy for the value stream in alignment with business goals
• Assess and prioritize customer needs based on business priorities, project demands, and technical dependencies

Lead, Plan, and Deliver: You will own the technical execution for the AI team. This includes translating high-level user stories into clearly defined technical work packages, creating robust delivery plans in close cooperation with the SW Engineering Team and your own team, and ensuring timely,...

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)...

• Design, maintain and deploy scalable, end-to-end training pipelines, including hyperparameter optimization
• Transfer control policies from simulation to real robotic hardware
• Integrate learned policies into a full-stack robotic system, including perception, planning, and actuation

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

• Assess and advance the architectural intent crafted during pre-sales.
• Provide architectural leadership across the full transformation lifecycle and guide platform adoption and evolution.

• Design/build AI-ready Lakehouse architectures (Databricks, Fabric) and data pipelines for analytics/ML
• Develop financial data models (Data Vault 2.0) with governance (Purview, Unity Catalog)
• Architect AI infrastructure: Cognitive Search, RAG, vector DBs, knowledge graphs for agentic AI