Phd high cnc javascript jquery állások XXIII. kerületben (it programozás, fejlesztés)

• 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

• Mapping and analyzing business needs and processes to support the development of digital products and data-driven solutions
• Creating specifications for IT development projects, especially for digital platforms and data-centric features such as user stories and use cases

• 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

• Building AI-assisted development workflows for code understanding, documentation, build triage, and handover preparation
• Implementing workflow utilities, prompt packs, repository analysis scripts, documentation helpers, and integration adapters

• Gherkin mondatok implementálása és testreszabása Java nyelven Selenium keretrendszerrel
• Tesztelők támogatása SOAP- és REST-alapú webszolgáltatások tesztelésében megfelelő teszteszközök használatával
• Tesztkeretrendszerek és -eszközök implementálása és fejlesztése JUnit, Mockito, Selenium használatával

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• Operation and evolution of Kubernetes platform
• Building, configuring, and maintaining bare metal hosts and Kubernetes clusters to run GPU/AI workloads
• Design and operation of NVIDIA AI related software stack (Slurm, Run AI)
• Providing customized application support for AI related workloads

• Writing clean, maintainable Python code and automation scripts (bash/shell)
• Building CI/CD pipelines and deployment automation for AI systems
• Creating infrastructure as code and configuration management solutions (terraform)
• Developing APIs, microservices, and event-driven architectures

• Design end-to-end technical and service solutions covering architecture, integrations, configuration structures, and operational workflows
• Define and validate operational requirements including monitoring, availability, continuity, capacity, and service levels

• Design, develop, and maintain backend services and APIs that support scalable cloud and on-prem systems
• Take part in architectural discussions, prototyping, and evaluating technical feasibility
• Optimize, test, and continuously improve system performance and reliability

• Training and fine-tuning models against curated datasets
• Running systematic hyperparameter and architecture experiments
• Building and maintaining evaluation suites
• Analyzing model failures and translating findings into dataset or training improvements

• Kialakítás és üzemeltetés ügyfelek részére dedikált sandbox környezetek
• Infrastruktúra automatizálás Terraform vagy Bicep használatával
• Fejlesztés GitLab alapú deployment pipeline-ok

• Preparation and follow-up of ICS audits and external audits for SAP and Non-SAP applications
• Preparation and follow-up of ICS audits and external audits for databases
• Steering of control owners and ICS knowledge transfer (training)
• Establishment of general ICS awareness

• Managing the operations of a BSS system in a cloud environment
• Installation management
• Managing upgrades of Middleware
• Monitoring business use cases of the system based on log files
• On call duties
• Maintenance during night hours

• Leading and mentoring a team of ML engineers
• Owning model quality end-to-end from experimentation to production-ready artifacts
• Conducting regular 1-on-1s for career development and feedback
• Removing blockers and ensuring team well-being

• 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

• Support modernization, stabilization, and enterprise readiness of existing Windows desktop applications
• Improve installer architecture
• Standardize deployment workflows
• Enhance CI/CD pipelines
• Ensure reliable update and installation experience
• Maintain and stabilize existing auto-update mechanism

• Development of deep understanding of VISTA and VMACS order-to-delivery systems to support European Ford Dealer Council projects
• Understanding current business processes and designing the desired future-state process
• Definition of requirements to deliver the future state and building the project plan

Ügyfelek üzleti követelményeinek elemzése és azok részletes technikai megoldás-tervekké és architektúra-dokumentációkká alakítása...

• On-premise IT infrastruktúra üzemeltetése, támogatása és folyamatos fejlesztése
• Linux alapú rendszerek adminisztrációja
• Kubernetes klaszterek adminisztrációja
• Middleware komponensek adminisztrációja
• Automatizációs feladatok megvalósítása és karbantartása