Engineer ai állások, munkák VII. kerületben

• Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data
• Ensure reliability, performance, and scalability of data systems
• Build solutions to handle real-time streaming data from multiple sources

• Contribution to embedded Linux device driver team work on new Arm hardware devices for AI use cases
• Hands-on development of Linux device drivers
• Testing of Linux device drivers
• Maintenance of Linux device drivers
• Ensuring correct functionality of Linux device drivers

• Build And Operate Multi-Cluster Containerized Environments Across Cloud Platforms
• Create End-To-End CI/CD Pipelines For Cloud-Native Applications And Machine Learning Workloads
• Lead Cost-Optimization And FinOps Initiatives For GPU, Storage And Data-Egress Spend

• Design and delivery of secure, scalable, high-performance services and platform capabilities
• Setting technical direction across multiple teams
• Owning complex initiatives end-to-end from problem framing to iteration

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

• Minőségbiztosítás szempontjából támogatás a fejlesztők munkáiban az agilis szoftverfejlesztő csapatban
• Automata és manuális tesztek tervezése, implementálása és végrehajtása
• Tesztek kiértékelése és eredmények reportálása
• Problémák feltárása, elemzése, dokumentálása és hibakövető rendszerben követése

• Design, development, and deployment of robust development tools and scalable infrastructure
• Stakeholder collaboration translating business requirements into technical specifications
• Automation and optimization of CI/CD pipelines
• Quality assurance through code review and testing

• Archicad fejlesztése és karbantartása az Archicad API területén
• Programszerkezet folyamatos megújítása
• Részvétel külső fejlesztők támogatásában
• Együttműködés terméktervezőkkel és minőségbiztosítással agilis csapatokban

• Outbound and inbound lead generation campaigns execution through HubSpot and LinkedIn Sales Navigator
• Research and identification of potential clients in target industries such as IT services, fintech, manufacturing, and enterprise transformation

• Building and maintaining simulation environments for mobile robotic perception and navigation
• Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Technology platform provision for research, implementation, delivery and execution of financial risk models
• Onboarding of models to the technology platform
• Collaboration with modellers on implementation and deployment of financial risk models

• 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

• Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage)
• Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability

• AWS-based cloud architecture design and technical decision making for SaaS, PaaS, web application, and enterprise cloud environments
• Infrastructure as Code solution design and implementation using Terraform, AWS CloudFormation, or Pulumi

• Data exploration, profiling, cleansing, and preprocessing for high-quality datasets
• Design and management of workflows for storing and retrieving vectorised documents
• Application of embedding models to build AI-driven solutions

Design and build an automation test framework integrated into CI/CD pipelines and the SDLC Implement automated tests across API, integration, and end-to-end layers Write high-quality, maintainable test code with focus on reusability, stability, and execution speed Embed testing into the development...

• Real-Time Decision Making Using Machine Learning For Risk Assessments
• Enabling Risk Infrastructure For Instant ACH Transfers
• Cross-Functional Collaboration With Software Engineers, Data Analysts, And Data Scientists

Development and enhancement of quantitative financial models Application of advanced technologies to real world financial problems Keeping up to date with the latest technological trends ...

• Design, develop, and maintain C-based applications in Linux/UNIX environments
• Work with system-level interfaces (POSIX APIs, processes, file systems, sockets)
• Develop and enhance Kerberos authentication systems and related tooling

• Technikai tanácsadás és támogatás
• Szakértői szintű iránymutatás nyújtása belső ügyfelek számára Azure-alapú megoldások tervezésében, megvalósításában és üzemeltetésében, a vállalati landing zone architektúrán belül