Python programozó diákmunka állások, munkák XVI. kerületben

• Unterstützung des Teams bei der Automatisierung und dem Testen von Cisco SD-WAN basierten Netzwerktechnologien
• Entwicklung und Pflege automatisierter Testfälle mit Python und Robot Framework
• Nutzung von Jira für Aufgabenverfolgung
• Kommunikation über MS Teams

• 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

• Detection, analysis and management of security incidents
• Making and evaluating reports
• Monitoring the customer’s environment
• Tracking IT security issues including vulnerabilities, 0day exploits, malware and making/fitting the rules for detecting them in the client's environment

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives

• Development of advanced technical solutions for infrastructure and services expansion and operation
• Preparation of procedures for the complete life cycle of cloud-native based production environment of packet Core including 5G-SA

• Építés agentic rendszerek tool-using workflow-kal, RAG, strukturált outputokkal, guardrail-ekkel és mérhető minőséggel
• Együttműködés Solution Architect-ekkel és LLMOps-szal
• Fejlesztés megbízható és folyamatosan fejlesztett rendszerekben

• Design, implement, and operate resilient IT infrastructure across on-premise and cloud environments (Azure/AWS)
• Ensure high availability, performance, and reliability of systems through proactive monitoring and optimization

• 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

• Building and optimizing inference pipelines for large-scale model serving
• Working with frameworks like PyTorch, TensorRT, and vLLM to deploy models efficiently
• Implementing and optimizing ML models using techniques such as quantization, kernel fusion, and efficient batching

• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

• Tesztmenedzsment feladatok vezetése
• Teljes tesztfolyamat szakmai kísérése az igényfelméréstől a riportolásig
• Követelményanalízis fejlesztőkkel, üzemeltetőkkel és más érintettekkel közösen
• Tesztstratégiák tervezése
• Tesztelési lépések meghatározása és követése

• Design, implement, and maintain scalable BI and data processing solutions
• Develop and operate ETL pipelines for customer, booking, and product data
• Integrate data from various file- and REST-based Magenta APIs
• Generate and deliver reports and datasets for multiple downstream consumers

• Qualification and validation testing of network hardware and software
• Functional, integration, and regression testing for IP/MPLS-based services
• Validation of VPN services running on LER/CPE platforms
• Testing and qualification of IP Backbone components and Route Reflector functionality

• Design and evolve robust cloud-native services and platforms with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration
• Influence technical direction without direct authority by identifying architectural pain points and improving engineering standards

• Analysis of system requirements from a verification point of view
• Support for breakdown activities and creation of lower tier requirements
• Planning, defining, and maintaining system and subsystem verification strategy in collaboration with system engineers and project managers

• Writing clean, maintainable Python code and automation scripts
• Building CI/CD pipelines and deployment automation for AI systems
• Creating infrastructure as code and configuration management solutions
• Developing APIs, microservices, and event-driven architectures

• Setting the technical direction for AI-enabled platform
• Architecting secure, scalable, serverless systems on AWS
• Defining patterns and governance practices for multiple teams
• Guiding AI value addition across the stack
• Mentoring senior engineers
• Leading org-wide design decisions

• Resource account igénylése és összekötése namespacekkel
• Resource accountba kerülő komponensek megvalósítása RDS, APIk, S3, MSK, cognito, SES, private link endpoint és endpoint service nonprod és prod környezeteken
• RICE API kapcsolatok kialakítása

Munkakörhöz tartozó feladatok ellátása....

• Technology architect with T Cloud Public hands-on experience
• Deep expertise in public cloud architecture
• Strong understanding of VPC networking
• Strong understanding of IAM and federation
• Strong understanding of cloud security architecture
• Strong understanding of Kubernetes and container platforms