Python programozó diákmunka állások XXIII. kerületben (it tanácsadó, elemző, auditor)

Performing tasks related to the position....

• Define early-stage design patterns and usage frameworks for Databricks and AI-enabled analytics capabilities 
• Enterprise data models and architectural patterns that guide IT-built pipelines in Databricks 

• Magas szintű technikai és üzleti tanácsadás ügyfelek számára az Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatban
• Ügyfelek üzleti és IT folyamatainak felmérése
• Komplex megoldások tervezése, bevezetése és minőségbiztosítása

• Architect Cloud-native AI Applications Integrating LLMs, Vector Search, And Real-time Data
• Design End-to-end Web Solutions From Frontend To Backend
• Implement RAG Pipelines, Model Serving, And AI Agents In Production
• Lead Cross-functional Teams (Full-stack, AI, Data)

• AI-alapú rendszerek és alkalmazások architektúrájának tervezése és fejlesztése
• Microservice és event-driven architektúrák tervezése és technikai irányvonal meghatározása
• Architekturális döntések meghozatala, beleértve a megfelelő technológiai és tervezési megoldások kiválasztását

• End-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintenance of CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tuning of complex Spark jobs and LLM inference patterns for performance optimization

• Strategic roadmap ownership for Databricks-based projects
• Requirements gathering and user stories translation
• Business logic interpretation for technical counterparts
• Cross-functional orchestration between engineering team and key stakeholders

• 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

• End-to-end ownership of development tasks across the full lifecycle
• Analysis and documentation of data flows and system processes in a cloud-based data environment
• Creation of process diagrams and technical documentation describing system behavior and data pipelines

• Guidance in adoption of NVIDIA's compute, networking, and software stacks
• Delivery of end-to-end GenAI and Agentic AI solutions
• Sharing knowledge through demos, proof-of-concepts, papers, and developer blogs
• Collaboration with executives and engineering to solve complex problems

• 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