Programozó állások, munkák VII. kerületben

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Understanding new Arm architecture and IP features and their implementation
• Devising promotion strategies for benefits of new features to software ecosystems and resolving adoption issues

• Design, build and deploy LLM-powered pipelines and autonomous agents
• Scope and deliver AI solutions with stakeholders
• Set best practices around MLOps and production-grade AI
• Mentor developers and contribute to internal knowledge-sharing

• 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

• Verification process of IoT, Mobile and Infrastructure subsystems integrating the latest Arm IPs
• Design and verification activities to fulfill project requirements
• Collaboration with architecture, design, verification, performance analysis, implementation and various IP teams

• 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

• 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

• 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

• 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

• Üzleti igények összegyűjtése és elemzése
• IT rendszerek és szoftverek elemzése
• Fejlesztési igények meghatározása
• Funkcionális és technikai specifikációk készítése
• Üzleti célok és IT megoldások közötti összhang biztosítása
• Szoftverfejlesztési életciklusban való aktív részvétel

• 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 of RTEMS or Linux applications including subsystem command and data handling
• Low-level hardware control
• Automation
• Custom interfaces
• Communication software for space systems and ground support equipment