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• Develop agentic AI applications from refined business and technical requirements.
• Implement agent workflows, prompts, model integrations, memory, RAG, tool calling, security controls, and human-in-the-loop steps.

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• Articulate regional data needs and availability across consumer, commercial and insights
• Deploy and embed global data products into markets as the voice of global products with local stakeholders
• Deploy predictive audience segments and experimentation with media, content, and marketing effectiveness

• Building, configuring and maintaining bare metal hosts and Kubernetes clusters to run GPU/AI workloads
• Designing and operating NVIDIA AI related software stack (Slurm, Run AI)
• Providing customized application support for AI related workloads

• Act as the senior strategic Reward advisor and partner to regional leadership
• Influence decisions that improve organizational performance, workforce competitiveness and talent outcomes
• Ensure adoption of global reward frameworks and reward transformation outcomes across diverse markets

• 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

• 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

• 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

• Native Swift/iOS application development
• User interface and function design as planned
• Requirements gathering participation
• Project and technical planning participation
• Unit and UI test writing
• Developer testing participation
• Continuous learning

• Ensuring high availability and stable operations
• Monitoring systems and handling alerts
• Opening, managing and coordinating incidents
• Executing planned maintenance tasks
• Keeping contact with providers and internal technical teams
• Troubleshooting application issues and outages using documentation

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Üzleti és technológiai elvárások elemzése a kisebb változásoktól a stratégiai programokig
• Üzleti igények alakítása műszaki megoldássá
• Technológiai megoldási javaslatok kidolgozása
• Tervezés során felmerülő követelmények összegyűjtése és karbantartása

• Development of native Android applications
• Design of user interfaces and functions as planned
• Participation in the definition of requirements and estimation of tasks
• Writing Unit and UI tests
• Participation in developer testing
• Staying up-to-date with current technology trends in Android development

• Architect Zero-Trust environments for LLM-based solutions
• Implement private networking (Private Link), granular RBAC (Entra ID), and automated policy enforcement
• Ensure compliance with enterprise security and audit standards
• Bridge Data Science and Engineering

• Vezetés a szoftverfejlesztés és tesztelés tervezésében, fejlesztésében, tesztelésében és telepítésében
• A teljes szoftverfejlesztési életciklus irányítása a követelménygyűjtéstől a terméktámogatásig

• Design landing zones, network topology (hub-spoke, transit gateway), and identity/federation models across AWS, Azure, and/or GCP
• Define infrastructure-as-code patterns (Terraform, Bicep/ARM, CloudFormation, or Pulumi) that other teams build on
• Design for HA/DR, resilience, and multi-region setups

Work directly with clients, product owners, architects, and development teams to understand business and technical requirements and translate them into infrastructure and cloud architecture requirements...