Programozó állások, munkák XIV. 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

• 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

• Build and maintain scalable, reliable, and secure environment on AWS using Infrastructure as Code tools
• Oversee the deployment, configuration and management of clusters
• CI/CD pipeline development with designing and managing CI/CD pipelines, Infrastructure as Code, and GitOps toolset and skillset

• 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

• Experience in different data science topics including machine learning, LLM, deep learning
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements

• Support Meridian technical due diligence and transition readiness using AI-assisted software engineering methods
• Analyse OpenStack-style services and surrounding components to map APIs, configuration flows, service dependencies, database usage, and operational assumptions

• Strengthening Meridian software handover readiness by combining AI-assisted software engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud platform repositories
• Trustworthy validation of large codebases

• Design and implement SAP IS-U developments using ABAP and ABAP OO
• Support SAP IS-U implementation projects
• Provide development support in productive environments
• Contribute to solutions running on SAP ECC and/or SAP S/4HANA for Utilities
• Work closely with international teams and clients

• Preparation of clear NAM performance analysis, dashboards and self-service reporting
• Leading the annual budgeting and forecasting processes
• Monitoring actual spending versus budget and providing insightful variance analysis

• End-to-end penetration testing engagements across web applications, APIs, cloud environments, binary applications and internal/external infrastructure
• Simulation of real-world attacks to identify security risks

• 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

• 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

• 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

Technical responsibility and management of all tasks and activities responsible for the provision of services by TCP to the customer and the contract result internally...

• Develop short-, medium-, and long-range fleet demand forecasts. 
• Perform fleet sizing analysis using demand forecasts, route assumptions, cycle requirements, and customer needs. 

• 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

• 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

• Monitoring platform and resolving issues reported by monitoring application
• Maintaining availability, integrity and confidentiality of security platforms
• Upgrading, remediating and patching underlying operating systems including Windows, Linux, ESXi, firewalls

• Design and build secure infrastructure foundation for AI-assisted software development
• Operate Kubernetes environments hosting AI engineering tools and services
• Implement GitOps and Infrastructure as Code patterns for provisioning and configuration

• Administration, configuration and maintenance of Microsoft Dynamics 365 Business Central and Dynamics 365 CRM platforms
• Collaboration with various departments to gather business requirements and deliver tailored Dynamics 365 solutions