Programozó állások XXIII. kerületben középiskolai végzettséggel

• Design and build learner models including knowledge tracing and longitudinal approaches
• Shape the data foundation for learner modeling by defining relevant signals and building datasets
• Translate mastery and progression definitions into model targets and evaluation criteria

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

Munkakörhöz tartozó feladatok ellátása....

• Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data
• Building and operating APIs, backend services, and pipelines to keep data current and accessible

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives

• Development of low-level software to integrate new Arm architecture improvements spanning Linux, Android, and related user-space components
• Development and optimisation with a focus on performance, energy conservation, and protection

• Participation in design, POCs and development of complex tasks
• Ensuring high-quality delivery by developers
• Working closely with architects to communicate, align and implement architecture direction
• Aligning with other tech leads to ensure technical consistency

• CI/CD pipeline-ok kialakítása, fejlesztése és karbantartása
• Deployment és release folyamatok automatizálása
• Cloud infrastruktúrák üzemeltetése és optimalizálása
• Konténerizált környezetek kezelése (Docker, Kubernetes/OpenShift)
• Monitoring, logging és alerting rendszerek kialakítása és üzemeltetése

• Preparation for containerization and cloud deployment
• Increasing scalability of systems
• Re-evaluation of systems design and development of new features
• Support of development teams (Backend and Frontend)
• Enhancement of CI/CD pipelines
• Improvement of monitoring and observability

• Participation in design, POCs and development of complex tasks
• Ensuring high-quality delivery by developers
• Working closely with architects to communicate, align and implement architecture direction
• Aligning with other tech leads to ensure technical consistency

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Design and implementation of portfolio solutions for clients
• Ongoing management of portfolio solutions to meet client objectives and constraints
• Keeping up to date with client trends, industry news, events, research, and regulations

• Development and deployment of AI-powered applications using modern software engineering practices
• Integration of Large Language Models into business solutions
• Building scalable backend services using Python or Node.js
• Development of intuitive user interfaces with React or Angular

• Design, develop, and maintain software for client projects with iOS applications
• Explore and test new technologies
• Create demo or prototype applications
• Identify and implement innovative solutions

• 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 the existing auto-update mechanism

Design of custom objects, custom fields, pick list, role based page layouts, workflow alerts and actions, validation rules, approval processes, custom tabs, custom reports, report folders, report extractions to various formats, design of Visualforce pages, record types, dashboards, and email...

• 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

• Supply & Demand Synchronization governance framework ownership and continuous improvement
• Consistent execution of S&DS processes integration
• Identification, challenge, and escalation of supply-demand imbalances, inventory risks, service risks, and capacity constraints