Python programozó diákmunka állások VI. kerületben (it programozás, fejlesztés)

• 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

• Collaboration with cross-functional teams to create user-centered designs
• Design of intuitive and visually appealing interfaces for web and mobile applications
• Conducting user research, competitive analysis, and usability testing
• Creation of wireframes, prototypes, and high-fidelity mockups

• Design, develop, and maintain scalable data pipelines in cloud and hybrid environments
• Contribute to the architecture of enterprise data platforms with a system-oriented mindset
• Work with large-scale datasets using SQL, Spark, and cloud-native tools

• Design, develop, and maintain multimedia middleware components
• Build, integrate, and optimize GStreamer-based audio/video pipelines
• Integrate media components with user-space applications and system services
• Debug and resolve complex media issues related to performance, stability, and synchronization

• Architecture of Cloud-native AI Applications Integrating LLMs, Vector Search, and Real-time Data
• Design of End-to-end Web Solutions from Frontend to Backend
• Implementation of RAG Pipelines, Model Serving, and AI Agents in Production
• Leadership of Cross-functional Teams (Full-stack, AI, Data)

• Work With Android Source Code And Build System
• Develop Android BSP Components And Platform Integrations
• Modify Android Platform Components For Project Requirements
• Develop And Maintain Android HAL Components
• Collaborate With Hardware Teams For Platform Bring-Up And Integration

• Development and optimization of algorithmic trading systems
• Writing clean, high-performance code in C++ or Rust
• Collaboration with engineers and quants to deliver robust, scalable trading infrastructure
• Contribution using Python for scripting or tooling tasks

• Design and implement new market links and connectivity tools
• Improve and maintain existing high-load, low-latency C++ applications
• Latency reduction to optimize trading performance
• Ensure operational excellence and reliability of systems as they scale

• Design and implement new market links and connectivity tools
• Improve and maintain existing high-load, low-latency C++ applications
• Latency reduction to optimize trading performance
• Ensure operational excellence and reliability of systems as they scale

• Architecture of Cloud-native AI Applications Integrating LLMs, Vector Search, and Real-time Data
• Design of End-to-end Web Solutions from Frontend to Backend
• Implementation of RAG Pipelines, Model Serving, and AI Agents in Production
• Leadership of Cross-functional Teams (Full-stack, AI, Data)

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• Definition and improvement of metrics reflecting product performance, service quality, and operational efficiency
• Analysis of client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance

• Developing scalable library software using modern tools and languages for various numerical method
• Performance tuning, optimization, and benchmarking of algorithms on various architectures

• 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

• Software engineering for complex systems
• Networking device software development
• Python development for networking devices
• Development of BSP, data plane or control plane protocols for networking devices
• Development of data path automated tests for network devices using Python/Pytest

• Direct line management, coaching, and career development for a team of Full-Stack Engineers
• Performance management and professional growth fostering
• Fostering a culture of technical excellence

- meglévő AI/ML rendszerek fejlesztése és optimalizálása - LLM-alapú megoldások (chatbot, MCP, fordítási pipeline-ok) integrálása és karbantartása - ML modellek és adatfeldolgozási lépések finomhangolása - Dokumentáció és kisebb technikai döntési javaslatok készítése...

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• 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

• Experience in different Data Science topics
• Independent delivery of Data Science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions