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

• 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

• Development of novel data extraction tools and workflows
• Co-lead R&D projects for information extraction from structured, semi-structured, and unstructured data
• Design, prototype, and evaluate scalable models including LLMs for asset detection, attribute inference, and classification

• 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

• Designing and developing proof of concepts (PoCs)
• Demonstrating solutions to internal customers on a tight schedule
• Utilizing GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes
• Taking GenAI and Agentic AI solutions from concept to Proof-of-Value (PoV)

• Embedding in the daily life of two engineering teams specialized in AML entity monitoring and case management solutions and device fingerprinting technology
• Ensuring technical designs align with SEON's architectural best-practices, are pragmatic and complete

• Build And Maintain Data Models And Pipelines Primarily Using AI Coding Tools
• Build And Improve Agentic Coding Workflows To Accelerate Data Modeling And Testing
• Partner With Stakeholders To Surface Conflicting Metric Definitions And Run Alignment Workshops

Researching and designing new performance attribution models Collaborating with software developers to test and release new models into production Supporting existing performance attribution models in production Developing and improving model quality control and model performance monitoring...

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives

• Managing complex database systems within a global technology ecosystem
• Building and managing Database hosting capabilities using Infrastructure as Code for all platform needs
• Building Database Infrastructure Platforms with developers and providing guidance and tooling to handle distributed systems