Phd hellas ci javascript jquery állások, munkák XXIII. kerületben

• 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

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

• 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

• 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

• 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

• Development and execution of country-level site engagement strategies across disease areas
• Building relationships with investigators and key operational stakeholders to enhance site satisfaction

• Design and develop scalable cloud security automation solutions across multi-cloud environments
• Build and maintain platform services using modern engineering practices and a code-first approach
• Own and enhance CI/CD pipelines that enable secure, reliable and efficient delivery

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

• 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

• Design and implement cloud security controls across AWS, Azure, and GCP
• Build security automation using CI/CD pipelines, Infrastructure as Code, and Policy as Code
• Develop automated compliance checks and remediation workflows

• Driving end-to-end market access journey
• Healthcare policy shaping
• Strategic stakeholder engagement within the Hungarian Healthcare System
• Co-creation and execution of comprehensive market access and pricing strategies for the full diagnostic portfolio across Hungary

• Planning, designing, implementing, and maintaining Rust components and applications
• Building a unified SDK for AI-based features integration into Aether
• Reviewing requirements and contributing to feature design
• Implementing clean, idiomatic, maintainable Rust code

• Design, develop, and maintain automated test suites as code using Java
• Create BDD-based automated test scenarios using Cucumber against REST APIs
• Automate API testing for OAuth 2.0 and OpenID Connect (OIDC) authentication and authorization flows using RestAssured or similar tools

• Enterprise alkalmazások architektúrájának teljes körű tervezése és irányítása
• Üzleti igények technikai koncepciókká alakítása
• Nemzetközi, angol nyelvű fejlesztőcsapatok szakmai vezetése és koordinálása
• Fejlesztési eredmények integrációjának biztosítása a Telekom rendszerkörnyezetbe

• Cloud infrastruktúra kiépítése és üzemeltetése T Cloud Public környezetben OpenTofu/Ansible keretrendszerrel
• Keretrendszer továbbfejlesztése új modulok és role-ok készítésével, fejlesztési javaslatok megvalósítása
• Kubernetes (CCE) környezetek üzemeltetése Helm, Ingress és Load Balancer komponensekkel

• Design and implementation of enterprise-scale data pipelines and advanced analytics dashboards
• Development and optimization of data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Analysis of business processes and collaboration with stakeholders to identify, assess, and prioritize automation opportunities
• Design, development, testing, and deployment of scalable end-to-end automation solutions using UiPath following industry best practices and enterprise standards

• Development and operation of data pipelines
• Building data layers in OneDataLake (ODL) Central Data Store Consumer (CDSC)
• Balancing business and IT demands to build modern and efficient pipelines in public cloud environments
• Integration of data preparations into managed processes

• Operation and maintenance of highly available IAM and infrastructure services in production environments
• Deployment, configuration, and management of workloads running on Kubernetes and Azure
• Administration and troubleshooting of Linux-based systems and containerized applications

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team
• Automation of manual processes and optimization of CI/CD pipelines
• Code review and testing
• Safeguarding systems against cybersecurity threats