AI Infrastructure Intern: Deploy & Maintain LLMs (Remote)

Siemens; Zug; Vor Ort; CHF 20.000 - 27.000; Teilzeit

Benefits dieser Stelle

Mobile working from anywhere inSwitz.

Develop international professional net

Experience at Siemens Switzerland

Siemens Students Association

Zusammenfassung

Siemens Switzerland is seeking a proactive AI Infrastructure Intern to deploy and maintain AI agents. You will work on deploying local LLMs with Ollama and cloud-based AI services on AWS Bedrock, while scripting infrastructure and documenting configurations.

Mobile working within Switzerland is offered. You are a Swiss university student in CS/engineering/data science with hands-on LLM experience and knowledge of AWS Bedrock, seeking a hands-on role in a leading tech employer.

Qualifikationen

• Currently enrolled at a Swiss university in computer science, engineering or data science.
• Hands-on experience with local LLM frameworks such as Ollama.
• Familiar with AWS Bedrock and basic AWS services.
• Experience with agentic AI and scripting infrastructure setups.
• Structured, solution-oriented mindset and clear English communication.

Aufgaben

• Support deployment of local LLMs using Ollama.
• Set up and maintain cloud-based AI services on AWS Bedrock.
• Automate infrastructure processes via scripting and manage Linux systems.
• Document deployment processes and configurations with diagrams.

Kenntnisse

LLM frameworks (Ollama)

AWS Bedrock familiarity

Agentic AI experience

Scripting infrastructure

English communication

Ausbildung

Swiss university student in CS/Engineering/Data Science

Tools

Linux

Ollama

AWS Bedrock

Jobbeschreibung

Siemens Switzerland is seeking a proactive AI Infrastructure Intern to deploy and maintain AI agents. You will work on deploying local LLMs with Ollama and cloud-based AI services on AWS Bedrock, while scripting infrastructure and documenting configurations.

Mobile working within Switzerland is offered. You are a Swiss university student in CS/engineering/data science with hands-on LLM experience and knowledge of AWS Bedrock, seeking a hands-on role in a leading tech employer.