Job Description

• Enhance our ML/LLMOps toolset and infrastructure for model testing and deployment within an AWS environment.


• 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


• Evaluate and implement different LLM approaches, 3rd party APIs, and LLM agents


• Document your findings in our internal knowledge base

• Excellent academic background in a quantitative discipline (statistics, machine learning, data science, financial mathematics, computational finance, engineering, physics or a similar field)


• First experiences with Cloud Infrastructure (AWS)


• Hands on experience  in Python and preferably at least one other programming language (e.g. Typescript)


• Fundamental knowledge in state-of-the-art LLM frameworks, RAG and vector databases (e.g. LangChain, LangGraph, Haystack, OpenSearch)


• First hands-on experience with in-context-learning, few-shot-learning and creating LLM-powered applications (e.g. Chatbots, information retrieval, document summarization)


• Experience with ML packages in Python (e.g., pandas, numpy, scikit-learn, statsmodels)


• Experience with end to end ML projects


• Curiosity and enthusiasm to learn new technologies


• 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

Nice to have:

• 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

• Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers


• The ability to work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients


• Enjoy an office in the heart of Munich, located in a lively neighborhood and close to the English garden 


• All internships are worth the same with us: we also remunerate mandatory internships 


• Learn and grow by joining our in-house knowledge sharing sessions


• Work productively with the latest hardware and tools


• Free subscription to the PRIME+ Broker