Python developer állás, munka

• Development of the Voice AI Agent using Python, LiveKit and WebRTC
• Ownership of end-to-end real-time voice pipelines including streaming ASR/TTS, VAD, diarization, state management, retries and latency optimization

• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

• Contribution to the ID Verification ML team building in-house ML solutions
• Delivery of high-quality NodeJS, TypeScript and Python code with simplicity, performance and scalability in mind

• Szerver infrastruktúra üzemeltetése és fejlesztése
• Virtualizációs környezetek kezelése
• Mentési rendszerek felügyelete és rendszeres ellenőrzése
• Infrastruktúra tervezése, fejlesztése, erőforrás optimalizálás, dokumentálása
• Hálózati és rendszer oldali hibák elemzése és elhárítása

• Administration and support of Cloudera Private Cloud Platform (PCP) and Cloudera Data Platform (CDP) environments
• Deployment, configuration, maintenance, and troubleshooting of Cloudera clusters and services
• Management of containerized environments using Docker/Podman and Kubernetes/OpenShift

You'll deliver the full technical architecture (data model, integration map, deployment topology, security model) for 4+ enterprise HubSpot programs of €150k+ each per year, at Director sign-off quality...

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• Lead the architectural vision and strategic direction for AI and machine learning systems across a distributed team in India and Europe.
• Architect unified, scalable and secure AI systems that supports international data sovereignty and regional privacy regulations.

• Design and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settings
• Deploy and operate open-source or open-weight model stacks, model gateways, vector databases, and supporting platform components

• Building, configuring and maintaining bare metal hosts and Kubernetes clusters to run GPU/AI workloads
• Designing and operating NVIDIA AI related software stack (Slurm, Run AI)
• Providing customized application support for AI related workloads

• Support architecture discussions, workshops and decision-making processes
• Create stakeholder-ready presentations and architecture artefacts
• Help drive Data & AI governance and architecture initiatives
• Collaborate with engineering, business and data teams across the organization

• Design and build secure infrastructure foundation for AI-assisted software development
• Operate Kubernetes environments hosting AI engineering tools and services
• Implement GitOps and Infrastructure as Code patterns for provisioning and configuration