Python állások V. kerületben középiskolai végzettséggel

• Owning and improving CI/CD pipelines (build, deployment, automated test execution) to ensure reliable and fast feedback cycles
• Creating, maintaining, and monitoring regular debug and release builds across development and release branches

• Design, development, and optimization of core ML models in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, code review and sharing best practices

• Definition and development of system-level tests for high-end embedded computing systems
• Automation of test execution and evaluation through scripting in a CI environment
• Increase of test coverage by extending functional examples into comprehensive test suites

• Co-design and implement QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Apply AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Providing technical assistance and guidance to Wise's data engineering and machine learning community
• Taking ownership of difficult technical problems
• Participating in the vision for data engineering through documents and conversations
• Getting buy-in from stakeholders and leadership

• 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

• Üzletileg kritikus alkalmazások napi szintű üzemeltetése és felügyelete
• Incidensek, hibajegyek kezelése és a felmerülő problémák kivizsgálása
• Rendszerek monitorozása, riasztások elemzése és kezelése
• Alkalmazások telepítése, verziófrissítések és élesítések végrehajtása

• Develop and maintain scalable web applications using Angular or React
• Build and optimize RESTful APIs and microservices using Node.js, Python or .NET
• Define and manage cloud infrastructure using Infrastructure as Code, such as Terraform or OpenTofu

•  Alkalmazások és automatizálási megoldások fejlesztése
•  Microsoft Power Platform (Power Apps, Power Automate) használata
•  Makrók, scriptek és No-Code / Low-Code megoldások készítése
•  Vállalati folyamatok optimalizálásának támogatása

• 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

• Building end-to-end web solutions from UI to backend
• Leading and contributing to development efforts across the full stack
• Design and implementation of web applications using modern frameworks and best practices
• Translating business and user needs into intuitive, scalable technical solutions

• Support Snowflake-to-Databricks data migration activities
• Design and implement scalable data pipelines in Snowflake and Databricks
• Develop data ingestion and transformation processes from various sources
• Migrate and optimize existing data workflows, ETL processes, and transformation logic

• 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)

• 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)

• 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

• 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)

• Work with Android source code and build system
• Develop, customize, and maintain Android BSP components
• Modify and improve Android platform components
• Develop, integrate, and maintain Android HAL components
• Collaborate with hardware teams for platform bring-up and hardware integration

Performing tasks related to the position....

• 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

• 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