Javascript állások XVII. kerületben (ai és automatizáció)

• Build-from-zero applications
• Bridge machine learning and product
• AI-accelerated development
• Real-time visualization
• End-to-end delivery of early-stage applications

• Kutatási, fejlesztési és termékfejlesztési feladatok önálló végrehajtása.
• Gépi tanulási modellek tervezése, megvalósítása és optimalizálása, mélytanulási módszerek alkalmazásával.
• Alapos irodalomkutatás, műszaki specifikációk összeállítása és részletes kutatási jelentések készítése.

• 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

• Execution and support of cross-product validation frameworks from the business and financial logic perspective
• Identification of quality gaps and recommendation of improvements aligned with firm-wide standards
• Ensuring AI-driven workflows meet defined quality thresholds

• Backend and frontend development with focus on high-performance and speed
• Cooperation with product team including UX, UI, and product management
• Building and coding backend in Node.JS and frontend in React in a complex web application
• Participation in and conducting code reviews

• Risk classification and residual risk handoff
• Severity adjudication and risk framework management
• Vulnerability management including triage and remediation driving
• Design and implementation of compensating controls
• False-positive adjudication with written justification

• ServiceNow megoldások tervezése megfelelve üzleti, funkcionális és megfelelőségi követelményeknek
• Szoros együttműködés a Scrum csapattal backlog elemek átdolgozása, követelmények tisztázása és pontos becslések készítése érdekében

• Leading data projects across the EMEA region including initiatives leveraging artificial intelligence and automation
• Leading and delivering innovation and transformation projects from scoping through to measurable business impact

• Development and improvement of computer vision algorithms for cricket tracking systems
• Building and enhancement of ball and player tracking solutions using multi-camera technology
• Contribution to multi-view geometry solutions to improve tracking accuracy

• Understanding new Arm architecture and IP features and their implementation
• Devising promotion of benefits to software ecosystems and resolving adoption issues
• Analysis and deep understanding of software solutions deployed in products, including major open-source projects such as Linux

• Maintenance of the Tulip Operating System including building, packaging, and support
• Configuration and maintenance of routing, networking, and device configurations
• Maintenance and addition of bootloader, kernel patches, and device trees on Tulip hardware
• Porting the Tulip OS to other hardware targets

Web alapú vállalatirányítási rendszer fejlesztése...

• Identification of highest-leverage AI opportunities in the developer workflow
• Ownership of foundational architecture and standards for agent modeling and internal tool evaluation and deployment
• Building and improving onboarding, documentation, and discovery layers for engineers

• Support the development of new hardware platforms used for prototyping Arm’s latest IP
• Collaborate with experienced engineers across Software, SoC, Characterisation, and Verification teams
• Help define specifications for new hardware platforms

• Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures
• Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers

• Design, development and deployment of scalable, resilient and high-performance components for the Wise Assistant
• Ownership of intent detection systems, contact processing pipelines and routing logic for automation solutions

• Designing and developing backend services and APIs that support real-time data ingestion, transformation, and delivery
• Building scalable, low-latency, high-throughput systems capable of handling demanding performance requirements

• Working on the next generation vehicle's self-driving software
• Development of the internal data distribution and execution framework
• Integration of third-party frameworks
• Sensor data recording related tasks
• Development of human-machine interfaces and data visualization tools

• Design and implement APIs and domain services that abstract the complexity of using an LLM and enable rapid feature development from product teams
• Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs