Machine Learning Engineer

vor 1 Woche


Munich, Bayern, Deutschland Scalable GmbH Vollzeit
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at Scalable GmbH. As a Machine Learning Engineer, you will play a key role in developing and implementing cutting-edge machine learning solutions that drive business growth and innovation.

Key Responsibilities
  • Evaluate and implement various machine learning approaches, including RAG, 3rd party APIs, and LLM agents to enhance our products and services.
  • Collaborate with the team to design and develop end-to-end GenAI Proof of Concepts (PoCs) that demonstrate the potential of machine learning in our industry.
  • Contribute to the development and improvement of our MLOps toolset and infrastructure, focusing on model testing and deployment in an AWS environment.
  • Document your findings and insights in our internal knowledge base to facilitate knowledge sharing and collaboration.
  • Work closely with the development team to integrate machine learning models into our products and services, ensuring seamless deployment and scalability.
  • Stay up-to-date with industry trends and advancements in machine learning, and apply this knowledge to drive innovation and improvement in our solutions.
Requirements
  • Excellent academic background in a quantitative discipline, such as statistics, machine learning, data science, financial mathematics, computational finance, engineering, or physics.
  • Hands-on experience in Python and at least one other programming language, such as Typescript.
  • Fundamental knowledge of state-of-the-art LLM frameworks, RAG, and vector databases, including LangChain, LangGraph, Haystack, and OpenSearch.
  • First-hand experience with in-context learning, few-shot learning, and creating LLM-powered applications, such as chatbots, information retrieval, and document summarization.
  • Experience with ML packages in Python, including pandas, numpy, scikit-learn, statsmodels, tensorflow, and pytorch.
  • Experience with end-to-end ML projects, including data preprocessing, model training, and deployment.
  • Curiosity and enthusiasm to learn new technologies and stay up-to-date with industry trends.
  • Result-oriented and pragmatic approach to work, with a focus on delivering high-quality results.
  • Fluency in English, both written and spoken.
  • Please provide your latest transcript of records and, if applicable, your work references.
Nice to Have
  • Experience with Infrastructure as Code (IaC) tools, such as Terraform.
  • Experience with Cloud Services, including AWS, Azure, and GCP.
  • Experience with CI/CD frameworks, such as Jenkins and Gitlab CI/CD.
About Scalable GmbH

Scalable GmbH is a fast-growing and innovative Fintech startup in Europe, creating cutting-edge services that have a significant impact on our customers' lives. We offer a dynamic and inclusive work environment, with a diverse team of professionals who share a passion for creating the best products for our clients.

We are committed to providing a comprehensive onboarding experience, including knowledge sharing sessions, training, and mentorship. Our team is passionate about innovation, collaboration, and continuous learning, and we are looking for like-minded individuals to join us on this exciting journey.

As a Scalable GmbH employee, you will have the opportunity to work with the latest hardware and tools, and enjoy a range of benefits, including a free subscription to the PRIME+ Broker. We are an equal opportunities employer and welcome applications from diverse candidates.



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