AI Research Student
Core
Evaluate emerging GenAI technologies and tools to assess their feasibility and value for Siemens' Product Lifecycle Management (PLM) software solutions.
Role type
AI Research Student (GenAI Evaluation)
Builds
Technical prototypes, feasibility assessments, and documentation of AI tool integration potential.
Domain
Industrial software / Generative AI
Deliverable
research
Required skills
Python, software development, API integration, building automation workflows, familiarity with GenAI tools and MCP
Preferred skills
Experience with AI coding assistants, hands-on experimentation with new technologies
Technologies
Python, GenAI tools, MCP, AI coding assistants
Responsibilities
Evaluate startup products and emerging technologies; Analyze technical architecture, APIs, and scalability; Use GenAI tools to accelerate development; Document findings and present results to stakeholders
Seniority
Student (Part-time)