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

• Design, build, and launch AI and generative AI solutions
• Create scalable data pipelines and model deployment workflows
• Develop large-language-model and multi-agent products
• Set up automated testing, deployment, monitoring, and improvement

• 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)

• Working together with the client on their requirements
• Transferring requirements to the backlog of understandable and estimable project tasks
• Understanding priorities
• Preparing release/sprint plans
• Focusing on maximum transparency when working with stakeholders

• 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

• Understanding and aligning with business needs, identifying related data requirements
• Participating in technical pre-sales activities, including effort estimation, and proposal creation
• Architecting and planning robust data models and modern data platforms

• 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

• Creation of bottom-up, data backed business models and scenarios for new initiatives, pricing changes, and product bets
• Partnership with Product and Commercial departments

• Dedication towards undisturbed business activities by committing to Service Level Agreement
• Ensuring technological architecture meets user requirements
• Supporting data maintenance related queries including data quality, lifecycle management and monitoring

• Microsoft SQL Server operation including maintenance, migrations, administration, configuration
• Support for developers, testers and DevOps engineers about best practices in database operation

• Technical ownership of governance infrastructure supporting the GBS Digital Enablement organization
• Maintenance and continuous enhancement of governance infrastructure
• Ensuring reliability, scalability, governance and accuracy of tools, workflows, data structures and reporting solutions

Establishment and operation of the build, release, and observability backbone for Meridian technical due diligence, code quarantine, reproducible software validation, controlled deployment preparation, and reliable engineering handover across cloud platform components...

• Leading a team of Reward Analysts covering the Compensation area
• Driving and collaborating on technical improvements and innovation
• Configuration of the Workday Job Catalog, eligibility rules, grades, grade profiles, bonus plans, allowances

• 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 (Terraform) and CI/CD

• Data ingestion processes from various sources into the Data Lake
• Design, development, and optimization of complex data pipelines for reliable data flow
• Build, development, and maintenance of frameworks facilitating the construction of data pipelines

• Industrialization of AI-assisted engineering workflows for Meridian
• Packaging repeatable patterns supporting codebase intake, dependency extraction, build triage, documentation generation, and technical evidence creation across cloud software work packages

• Support the Service Delivery Manager of the responsible Business Unit with administration in various systems and tools
• Support ongoing data-related projects within the Data Intelligence Hub
• Assist in collecting, cleaning, and preparing data from various sources

• Technical discovery sessions and product demonstrations leadership
• Primary technical contact role during enterprise sales cycles
• Customer and partner advisory on architecture, integrations, and best practices
• Consulting engagements and technical services scoping and delivery

• Assisting in delivering engaging training sessions and workshops
• Supporting the development of IT courses with lead trainers and technical experts
• Creating and refining educational materials including exercises, tests, and case studies

• Analysis of existing processes and identification of inefficiencies
• Support of transformation initiatives execution
• Development of KPI dashboards and performance insights
• Support of standardized process solution design
• Assistance in rollout of improvements across teams

• Develop native Swift/iOS applications
• Design user interfaces and functions as planned
• Participation in requirements gathering, project and technical planning
• Writing Unit and UI tests and participation in developer testing
• Continuous learning