Python programmer állások, munkák programozó, fejlesztő kategóriában

• Conduct security assessments, including vulnerability scanning, penetration testing, secure code reviews, and reverse engineering of applications and products
• Perform threat modeling and security risk assessments for software, connected devices, and cloud-based service

Perform research in the field of closed-loop medication systems, aiming at point-of-care antibiotics level measurement from whole blood and utilizing this data for automated dose control...

You will gain valuable expertise in automating and optimizing processes, along with practical experience in cross-functional projects, particularly in automation through image processing...

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Build and maintain scalable, reliable, and secure environment on AWS using Infrastructure as Code tools
• Oversee the deployment, configuration and management of clusters
• CI/CD pipeline development with designing and managing CI/CD pipelines, Infrastructure as Code, and GitOps toolset and skillset

• 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)

• building the data infrastructure
• designing and implementing the neural-process architecture
• you will develop scalable data pipelines for heterogeneous environmental datasets
• you will design and implement neural-process-based architectures for spatio-temporal prediction