Evaluate and implement different RAG approaches, 3rd party APIs, and LLM agents
Support the team in building end-to-end GenAI PoCs
Contribute to our MLOps toolset and infrastructure on model testing and deployment in an AWS environment
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
Excellent academic background in a quantitative discipline (statistics, machine learning, data science, financial mathematics, computational finance, engineering, physics or a similar field)
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, tensorflow, pytorch)
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 Cloud Services like AWS, Azure, GCP 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
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