Data állások Csongrád-Csanád megyében (it programozás, fejlesztés)

Agentic AI development: Design and implement autonomous and semi-autonomous AI workflows, including planning, task execution, tool integration, context management, and fault recovery....

• 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

• Ownership of end-to-end lifecycle of domain data products including design, development, operationalization, evolution, and retirement
• Leadership of technical delivery across data ingestion, pipelines, transformations, APIs, and data engineering processes within the domain

• 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

• Project reviews and advisory from fraud risk perspective
• Coordination of the evaluation and mitigation process with responsible stakeholders
• Development of internal security requirements for fraud risk assessment

• Labeling of image data for training of object recognition
• Programming of data acquisition pipelines in Python or C++
• Frontend development of a browser client in Three.js
• Design of 3D props and environments in Blender and Omniverse
• Linux server administration, particularly DGX Spark and Jetson

• Deployment, configuration and management of Atlassian products (JIRA Service Management, Confluence, Jira)
• Design and implementation of CI/CD pipelines for automated deployments and integrations
• Maintenance and improvement of system reliability, scalability and security

• 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

• Setup, operation, maintenance, and reliability of databases used for IT service operations and ITSM processes
• Operation of databases supporting service management, monitoring, reporting, and operational tooling

• 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

• Development of advanced technical solutions for infrastructure and services expansion and operation
• Preparation of procedures for the complete life cycle of cloud-native based production environment of packet Core including 5G-SA

• Analysis of report and dashboard requirements considering needed input data and preparation of output data
• Creation of information design and information architecture of the dashboard and reporting solutions
• Development of report and dashboard solutions

• Coordination of operations with data center teams
• Support of hardware lifecycle activities including installs, GPU upgrades, storage expansion, firmware updates
• Management of server and network interconnections and related documentation

• Managing Order-to-Cash and billing activities for cloud products and services
• Ensuring accurate and timely invoicing in line with contracts, consumption data, and internal policies
• Reviewing invoice quality, identifying discrepancies, and coordinating corrections

• 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

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

• Management and strategic development of customer relationships with public authorities and tolling operators
• Identification of market opportunities and support of new business acquisition across the full sales lifecycle
• Analysis, structuring, and documentation of business and technical requirements

• 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

• Building AI-assisted development workflows
• Testing AI-assisted development workflows
• Maintaining AI-assisted development workflows
• Implementing workflow utilities
• Implementing prompt packs
• Implementing repository analysis scripts
• Implementing documentation helpers
• Implementing integration adapters

• Skálázható cloud-native adatarchitektúrák tervezése Databricks vagy MS Fabric platformokra
• Adatmodellek, sémák és tárolási minták kialakítása (lakehouse, Delta, Parquet)
• Batch és streaming adatok betöltési pipeline-jainak megtervezése
• ETL/ELT folyamatok és transzformációs stratégia meghatározása