backend

Scalable GmbH

<div><section><div><p></p><h2>Company Description</h2></div><div><p>Scalable Capital is a leading digital investment platform in Europe. The company empowers everyone to shape their financial future. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs and other exchange-traded products and set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios and is also adopted as a white-label solution by renowned B2B partners. With the European Investor Exchange (EIX) Scalable Capital offers a stock exchange for retail investors in Europe. Over 27 billion euro is held on the platform by more than one million clients.</p><p>Scalable Capital was founded in 2014 and employs more than 500 people at its offices in Munich, Berlin, Vienna, and London. Together with the founding and management team around Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.</p><p>Visit our <a href="https://www.google.com/url?q=https://de.scalable.capital/blog&amp;sa=D&amp;source=calendar&amp;ust=1709974557945714&amp;usg=AOvVaw1-ii78nD4LIEkV3O9MEWhg">finance blog</a> or check out our Social Media channels to find out what our Expert Teams have to say.<br> <br> Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values <a href="https://www.google.com/url?q=https://de.scalable.capital/values-principles&amp;sa=D&amp;source=calendar&amp;ust=1709974557945714&amp;usg=AOvVaw1LP9L3MAFXhHG8Otw2-KHC">here</a> (English).</p></div></section><section><div><p></p><h2>Job Description</h2></div><div><p>At Scalable Capital, we are thrilled to expand our Data Department with multiple new ML Engineering roles in our growing Data Science team. <strong>Depending on the applicant's profile, this role can either focus more on the infrastructure side (i.e., MLOps) or bridge the gap between software development and Machine Learning</strong>. In any case, in this newly formed work stream, you will have the unique opportunity to lay the foundations and set the right direction.</p><p><u>Responsibilities</u>:</p><ul><li>Identify, evaluate, implement, and maintain (Gen) AI / ML technologies for internal but also potential future client-serving services by following software engineering best practices</li><li>Drive the development of appropriate architectures for deploying and maintaining scalable ML/(Gen) AI solutions</li><li>Build infrastructure components, CI/CD pipelines, configure, extend, and maintain our existing ML services on AWS</li><li>Evaluate retrieval techniques, language models, and generative AI methodologies by not losing your focus on pragmatic solutions</li><li>Implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems</li><li>Collaborate with cross-functional teams to ensure the successful integration of AI systems into business processes</li><li>Stay up to date with the latest industry developments and technologies to ensure our solutions remain at the forefront of innovation</li></ul><p> </p></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field</li><li>A generalist mindset to continuously learn and open to switch between different technical domains like Backend, Frontend, AI/ML Infrastructure</li><li>Extensive experience in AI/ML technologies and software development (Python)</li><li>Experience with building frontends (e.g., Next.js would be a big plus)</li><li>Experience with dockerization, cloud platforms, preferably AWS (ECS, Lambdas, API Gateway,...), and related ML/GenAI services such as AWS Bedrock, Sagemaker</li><li>Familiarity with building CI/CD pipelines (e.g., Jenkins, GitHub Actions) and version control practices</li><li>Confidence in working with modern machine learning libraries such as scikit-learn, PyTorch, Transformers, Langchain, LlamaIndex</li><li>Strong understanding of chains, routing, agents, Retrieval-Augmented Generation (RAG), and the use of vector databases for managing structured and unstructured data sources</li><li>Familiarity with MLOps practices, understanding the lifecycle of ML model development and deployment, performance monitoring and how this can be also applied to LLM use cases</li><li>Ideally hands on experience with model training, fine-tuning, evaluation, optimization, risk mitigation even in production environments</li><li>Experience with Infrastructure as Code (e.g., terraform)</li><li>Interest in financial services and markets is a plus</li><li>Strong project management and organisational skills paired with excellent problem solving skills and hands on mentality</li></ul></div></section><section><div><p></p><h2>Additional Information</h2></div><div><ul><li>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</li><li>Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients</li><li>Enjoy an office in a great location in the middle of Munich, Berlin, or choose to work remotely within Germany (if eligible for the job)</li><li>Flexible vacation policy and the opportunity to work from abroad</li><li>Be productive with the latest hardware and tools</li><li>Learn and grow by joining our in-house knowledge sharing sessions and spending your individual Education Budget </li></ul></div></section></div>

(Senior) ML Engineer / Software Engineer Machine Learning & AI (m/f/x) (onsite / remote in Germany)