Machine Learning Engineer

vor 1 Woche

Munich, Bayern, Deutschland Scalable Capital Vollzeit

About Scalable Capital

Scalable Capital is a leading digital investment platform in Europe that makes investing easy and affordable for everyone. Our clients can trade a wide range of financial instruments, including stocks, ETFs, and funds, to build their portfolios and earn interest on their cash balance. We also offer a digital wealth management service that allows our clients to have their investments professionally managed.

Our company was founded in 2014 and is active in several European countries. We have a strong presence in Germany, Austria, France, Italy, the Netherlands, Spain, and the UK. Our investment firm is supervised by BaFin and the Bundesbank, and we have over 20 billion euros on our platform. In addition to our business for private clients, we operate B2B solutions and partner with leading financial institutions.

About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for evaluating and implementing different RAG approaches, 3rd party APIs, and LLM agents. You will also support the team in building end-to-end GenAI PoCs and contribute to our MLOps toolset and infrastructure on model testing and deployment in an AWS environment.

Key Responsibilities

  • 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

Requirements

  • 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 (Typescript)
  • Fundamental knowledge in state-of-the-art LLM frameworks, RAG and vector databases (LangChain, LangGraph, Haystack, OpenSearch)
  • First hands-on experience with in-context-learning, few-shot-learning and creating LLM-powered applications (Chatbots, information retrieval, document summarization)
  • Experience with ML packages in Python (, 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 (Jenkins, Gitlab CI/CD) is a plus

About Working at Scalable Capital

As a Machine Learning Engineer at Scalable Capital, you will be part of a dynamic and innovative team that is shaping the future of finance. You will have the opportunity to work with cutting-edge technologies and contribute to the development of our machine learning and data pipelines. We offer a collaborative and inclusive work environment, with a strong focus on knowledge sharing and professional growth. Our office is located in the heart of Munich, and we offer a range of benefits and perks to support your well-being and career development.

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