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Emirates Cabin Crew are responsible for delivering the Fly Better onboard experience to passengers across our global network. As a member of our Cabin Crew team, you will be the onboard representative of our brand, delivering our signature award-winning service while maintaining world-class safety...

In close collaboration with Process Owners you analyze existing processes, identify AI and agent based use cases, and design future oriented process solutions by integrating available AI platforms, technologies, agents, data, and knowledge sources....

• Independently plan, perform, document, and analyze experiments within your PhD project.
• Work with patient-derived FFPE tissue from primary melanomas, sentinel lymph nodes, and lymph node metastases.

• Architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines
• Building scalable, production-grade LLM services and agentic workflows alongside traditional ML systems

· CORE ANALYZER DEVELOPMENT: Lead and execute R&D, hardware/sensor architecture, and optical bench design for industrial gas analyzers and CEMS. · TARGET TECHNOLOGIES: Design, develop, and optimize core analytical measurement modules including FTIR (Fourier Transform Infrared), CLD...

• Development and implementation of complex generative AI applications from discovery to deployment
• Establishment of best practices framework for deploying cloud architectures supporting AI agents
• Creation of RAG/LLM evaluation pipelines, embedding strategies, and optimization of prompts/runtime

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• AI infrastruktúra építése és karbantartása Infrastructure as Code (Terraform/CDK) használatával
• AI ügynökök gyors és biztonságos telepítésének támogatása monitoringgal, naplózással és telepítési automatizálással

• End-to-end SRE ownership for the Global Fabric service
• Incident ownership across the customer journey from detection to resolution
• Primary operational escalation point for CF-related incidents
• Escalation of complex technical issues and coordination of resolution activities

• Designing test strategies, test plans and test cases for complex, distributed systems
• Building and maintaining automated test suites (functional, integration, regression and end-to-end)
• Testing APIs and backend services, including validating data flows end to end

• End-to-end felelősség cloud és on-premise platformok architektúrájáért
• Cloud platformok tervezése és fejlesztése (AWS, Azure, T Cloud Public)
• Kubernetes-alapú üzemeltetési és deployment megoldások kialakítása
• Shared és managed service architektúrák megtervezése és továbbfejlesztése

• Design, implement and operate secure, open-source groupware and collaboration services, including email, file sharing, messaging and document editing
• Build and maintain Linux-based infrastructure and containerized applications in an on-premise private cloud

Shaping and evolving the architecture of MDO network automation capabilities including reusable automation patterns, interfaces and technical guidelines...

• Lead and continuously develop the Group Treasury function in alignment with BELIMO's values and leadership principles.
• Establish reliable global liquidity planning and create transparency across the Group's cash flows.

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• COS-Rollouts in operativen Bereichen und Supportfunktionen planen, moderieren und coachen.
• Die OE-Roadmap für zugeordnete Wertströme bzw. Funktionen entwickeln, umsetzen und kontinuierlich weiterentwickeln.

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

Predictive ML: Build models for lead generation, demand forecasting, residual value forecasting, portfolio steering, and fraud detection....

The aim of the project is to understand how and under which conditions carbon and energy are transformed and stored in soils. Through incubation experiments and thermodynamic modelling, you will quantify matter and energy fluxes and characterize their efficiency and limitations. In doing so, you...

CI/CD ownership: Own and evolve our shared GitHub Actions platform so it stays maintainable, reliable and easy to adopt across the team's repositories. Our stack is mainly Python, so you'll need a solid grasp of the Python packaging and tooling ecosystem. Occasionally you'll extend the platform to...