Ai developer állások, munkák VIII. kerületben

Performing tasks related to the position....

• Design enterprise Data & AI strategies that use Data & Generative AI to drive real business growth
• Translate complex business needs into clear AI solutions that deliver value
• Act as a trusted advisor to C-level leaders on AI adoption, regulations, and ROI

• Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients
• Developing highly scalable services realizing AI/ML functionalities

• Design intelligent contact center platforms based on Amazon Bedrock AgentCore and Amazon Connect
• Design agent-based architectures including tool integration, persistent memory, multi-agent orchestration, and guardrails

• Létező rendszerek újraalkotása
• Saját kódbázis létrehozása közösségi közlekedést érintő fejlesztési feladatok mellett
• Agilis fejlesztés iránti elkötelezettség
• Komplex business domain megértése és fejlesztése
• Webes alkalmazások fejlesztése
• Dokumentációk készítése

• Writing and maintaining clean, high-quality, and efficient code aligned with project specifications using AI tools
• Executing comprehensive testing and seamless deployment of programs and systems
• Communicating technical information clearly and effectively with team members

• Leading and scaling PV Regional Center operations across EEMEA region
• Overseeing all PV and Device Vigilance operations in the region
• Driving absolute compliance and operational agility
• Integrating clinical safety into operations
• Directing and motivating a multi-site regional team

• Build and evolve CI infrastructure validating performance methodologies across cloud, on-prem, and hardware targets
• Design controlled, reproducible test environments for distinguishing real regressions from environmental noise

• 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 evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns

• Designing, developing, and improving ball and player tracking algorithms using multi-camera systems
• Owning and evolving multi-view geometry solutions for accurate, court-wide tracking
• Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios

• 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

• Technical expertise and influence across LLVM compiler development for Arm and upstream
• Mentoring engineers inside the LLVM team and in the community
• Representation of Arm in the LLVM ecosystem with leadership in upstream contributions and community direction

• Active involvement in the software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives

• Design and evolve robust cloud-native services and platforms with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration
• Influence technical direction by identifying architectural pain points and improving engineering standards

• Defining and executing software engineering vision across multiple product portfolios
• Providing strategic direction for global engineering organizations
• Ensuring successful delivery of secure, scalable, AI-enabled products
• Driving operational excellence, innovation, and sustainable business growth

• Building and shipping features end-to-end across the React frontend and Node.js/Fastify backend using AI tools
• Reading, navigating, and extending an existing production codebase
• Writing unit, integration, and component tests using Jest and React Testing Library

• Automation and streamlining of fraud investigation processes
• Improvement of tooling for fraud investigations
• Creation of seamless experience for agents and customers during fraud investigations
• Development of innovative solutions to tackle fraud

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery
• Managing and mentoring the team
• Ensuring successful execution of data engineering projects
• Ensuring successful execution of ML/MLOps projects
• Ensuring successful execution of cloud migration projects