Working Student Machine Learning

vor 3 Monaten

München, Deutschland Scalable GmbH Vollzeit

**Company Description**
Scalable Capital is a leading digital investment platform in Europe that makes investing easy and affordable for everyone. Clients of the Scalable Broker can trade 8,000 stocks, 2,500 ETFs, and 3,500 funds and other exchange traded products to build their portfolios, earn interest on their cash balance and take secured loans. People can also have their investments professionally managed via the digital wealth management service. More than one million clients already use the services.

Scalable Capital was founded in 2014 and is active in Germany, Austria, France, Italy, the Netherlands, Spain, and the UK. The investment firm, which is supervised by BaFin and the Bundesbank, has more than 20 billion euros on its platform. In addition to its business for private clients, the company operates B2B solutions. Its long-standing partners include ING, Barclays Bank in the UK, the robo-advisor Oskar, and the Santander Group in Spain. Scalable Capital employs more than 500 people at its offices in Munich, Berlin, and London. Together with the founding and management team around Erik Podzuweit and Florian Prucker, they strive to empower everyone to become an investor.

Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.

Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).
- 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

**Qualifications**
- 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)
- 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

**Additional Information**
- 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

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