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20Open Positions

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Internship - AI/ML Engineering (m/f/x)

Scalable Capital
Found 1 month ago
Location
Munich, Germany
Duration (Months)
3 Months
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • AWS
  • Python
  • LLM frameworks
  • RAG
  • vector databases
  • LangChain
  • LangGraph
  • OpenSearch
  • Chatbots
  • information retrieval
  • document summarization
  • pandas
  • numpy
  • scikit-learn
  • statsmodels

Soft Skills

  • Curiosity
  • enthusiasm
  • Result-oriented
  • pragmatic way of working

Job Description

Enhance our ML/LLMOps and AI Agent infrastructure for model evaluation, testing, and deployment within an AWS environment. Evaluate and implement different LLM frameworks, AI agent architectures, and 3rd party APIs. Design and experiment with AI agent evaluation systems to measure reasoning quality, reliability, and consistency. Support the development and automation of AI agent systems and Retrieval-Augmented Generation (RAG) pipelines. Document your findings in our internal knowledge base Contribute to the development, improvement, and automation of our machine learning and data pipelines Gain experience in industry critical infrastructure technologies and apply them productively

Requirements

  • Excellent academic background in a quantitative discipline (computer science, machine learning, data science, financial mathematics,, engineering, physics, or a similar field)
  • Currently pursuing a Bachelor’s or Master’s degree.
  • First experiences with Cloud Infrastructure (AWS)
  • Hands on experience in Python
  • Fundamental knowledge in state-of-the-art LLM frameworks, RAG and vector databases (e.g. LangChain, LangGraph,, OpenSearch)
  • First-hand experience with creating LLM-powered applications, AI agents, tool use, and multi-step reasoning workflows. (e.g. Chatbots, information retrieval, document summarization)
  • Experience with ML packages in Python (e.g., pandas, numpy, scikit-learn, statsmodels)
  • Curiosity and enthusiasm to learn new technologies and build reliable AI systems.
  • Result-oriented and pragmatic way of working
  • Fluency in English (written & spoken)
  • Please also provide us with your latest transcript of records and if applicable your work references

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Experience with AI Agent or RAG Evaluation Systems (e.g. LLM-as-a-judge, automated scoring pipelines, or Langfuse-based evaluation).
  • Good understanding of software engineering principles, including API development, code versioning, and testing frameworks (e.g. Pytest, FastAPI, etc.)
  • Familiarity with end-to-end ML projects
  • Experience with Infrastructure as Code (IaC) like terraform is a plus
  • Experience with CI/CD frameworks (e.g. Jenkins, Gitlab CI/CD) is a plus
▶Apply Now

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