Team lead machine learning engineer állás, munka

Design, develop, and deploy advanced ML models, with a focus on optimizing Large Language Models (LLMs) for diverse NLP and multimodal applications (text, image, structured data) and Visual Language Models (VLM)...

• Responsible for handling RICEFW objects within one workstream.
• Be aware of dependencies between business processes.
• Demonstrate strong teamwork, especially within the lead developer community.
• Collaborate with the internal global development team.

• Development and optimization of measurement data visualization software and other tools for PCs and mobile devices
• Application programming with Visual Studio in C# (.NET) and WPF (XAML) as well as Xamarin.Forms and MAUI
• Creation of documentation
• Localization/internationalization of software

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with TypeScript Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by leading...

• Collaborate with the user team to enhance the functionality and performance of our AI chatbot
• Evaluate different LLM agent frameworks to optimize development and functionality
• Integrate new internal knowledge sources and refine the RAG pipeline to improve the chatbot's knowledge base

• Build exceptional on-platform solutions: Design, implement, and maintain high-quality Salesforce solutions using LWC, Aura, Apex, and Flows.
• Lead Apex by excellence: Apply strong OOP, clean architecture, testability, and performance in mind.

• As a (Senior) Manager (m/f/d) you will independently work on commercial business processes of our customers and map them in their SAP systems
• You will be responsible for the continuous and further development of the system landscape as well as the interface development

Learn the existing system architecture, codebase, tools, and development practices Validate existing technical documentation and flag any gaps or outdated content Proactively highlight blockers to knowledge transfer (e.g., missing info, unclear logic, inaccessible systems) Maintain coding...