Phd hands cnc javascript jquery állások, munkák Budapesten

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

Tworzenie i realizacja strategii oraz planów marketingu cyfrowego zgodnych z celami biznesowymi i rozwojowymi firmy...

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams including Full-stack, AI, and Data

• Planning, executing and optimizing global digital marketing campaigns across key channels such as Google Ads, Meta Ads, LinkedIn Ads and Display
• Media buying and strategic purchasing of ad space through media agency

• Daily operational activities including handling service requests and troubleshooting complex network issues
• Design, implementation, and optimization of corporate firewall architecture with focus on security, scalability, and high availability

• Development of advanced AI solutions
• Collaboration across divisions to design, develop, and deploy machine learning models and AI applications
• Working with state-of-the-art AI technologies including generative AI, natural language processing, and computer vision

• Driving the end-to-end market access journey within the Hungarian Healthcare System
• Shaping healthcare policy within the Hungarian Healthcare System
• Engaging strategically with stakeholders within the Hungarian Healthcare System

• Design and develop normalized and denormalized data models to support reporting and data integration needs
• Apply dimensional modelling techniques to create efficient, scalable, and business-oriented data models
• Develop and maintain data transformations and models using SQL and dbt

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain
• Analysing and resolving blockers and issues with ETL pipelines and data discrepancies

• Shaping and executing end-to-end strategy for safety-related data outputs
• Leading oversight of safety data processing
• Partnering closely with vendor alliances
• Driving implementation of artificial intelligence within pharmacovigilance
• Collaborating with key stakeholders across Roche globally

• Coordination of operations with Data Center, IaaS and PaaS layers
• Coordination and support of network lifecycle activities including installs, upgrades, changes, and firmware updates
• Management of network interconnections and related documentation

• Execution of end-to-end digital marketing campaigns for global events and congresses
• Creation, updating, and localization of high-quality digital assets including webpages, email campaigns, social media posts, and sales enablement materials

• 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

• Operation and continuous improvement of the security risk management process, methodologies, and related policies
• Alignment with group-level security standards and governance requirements
• Support for the integration of risk management into business and IT processes

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team for translating business requirements into technical specifications
• Automation of manual processes and optimization of CI/CD pipelines

• Implementation and improvement of business objects for mobile network infrastructure in backend systems up to the API layer
• Development and maintenance of business objects including data models, backend logic, and APIs

• Development, maintenance, and support of cloud-based data operation infrastructure and production data pipelines
• Design, implementation, operation, and optimization of Azure data services and Databricks workloads

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• Architect cloud-native AI applications integrating LLMs vector search and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines model serving and AI agents in production
• Lead cross-functional teams (Full-stack AI Data)

• Configuration of SAP SuccessFactors Employee Central solution
• Leading solution workshops with clients
• Supporting Lead Consultant on functional and data migration workshops
• Supporting data migration activities
• Providing support during UAT and go-live
• Conducting system admin training