(Senior) ML Engineer / Software Engineer Machine Learning & AI
Company DescriptionScalable 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.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.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).Job DescriptionAt Scalable Capital, we are thrilled to announce an opportunity within our Data Department for a new ML Engineering role in our growing Data Science team. This role focuses on bridging the gap between software development and Machine Learning, primarily working on applied generative AI use cases. In this newly formed work stream, you will have the unique opportunity to lay the foundations and set the right direction.Responsibilities:Identify, evaluate, implement, and maintain (Gen) AI / ML technologies for internal but also potential future client-serving services by following software engineering best practicesDrive the development of appropriate architectures for deploying and maintaining scalable ML/(Gen) AI solutionsContribute to infrastructure components, CI/CD pipelines, configure, extend, and maintain our existing ML services on AWSEvaluate retrieval techniques, language models, and generative AI methodologies by not losing your focus on pragmatic solutionsImplement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systemsCollaborate with cross-functional teams to ensure the successful integration of AI systems into business processesStay up to date with the latest industry developments and technologies to ensure our solutions remain at the forefront of innovationQualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related fieldA generalist mindset to continuously learn and open to switch between different technical domains like Backend, Frontend, AI/ML InfrastructureExtensive experience in AI/ML technologies and software development (Python)Experience with dockerization, cloud platforms, preferably AWS (ECS, Lambdas, API Gateway,...), and related ML/GenAI services such as AWS Bedrock, Sagemaker ideally provisioning them using Infrastructure as Code (terraform)Familiarity with building CI/CD pipelines (e.g., Jenkins, GitHub Actions) and version control practicesConfidence in working with modern agentic workflow orchestration frameworks like Langgraph and LlamaIndexStrong understanding of chains, routing, agents, Retrieval-Augmented Generation (RAG), and the use of vector databases for managing structured and unstructured data sourcesExperience with FastAPI for building and deploying APIsFamiliarity with MLOps practices, understanding the lifecycle of ML model development and deployment, performance monitoring and how this can be also applied to LLM use casesInterest in financial services and markets is a plusExperience with building frontends (e.g., Next.js would be a big plus) is a plusStrong project management and organisational skills paired with excellent problem solving skills and hands on mentalityAdditional InformationBe 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 customersWork with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clientsWork from our centrally located offices in the heart of Munich or Berlin, nestled in lively neighborhoods filled with vibrant restaurants, cozy cafĂ©s, and a wide range of convenient amenities or choose to work remotely within Germany (if eligible for the job)Be productive with the latest hardware and toolsLearn and grow by joining our in-house knowledge sharing sessions and spending your individual Education Budget Learn and experience German culture first hand by joining our free German language classes(International) relocation supportFlexible vacation policy and the opportunity to work from abroadBenefit from an attractive compensation package and from the company pension schemeMonthly contribution of 25% for the âDeutschland JobticketâSay goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker
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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).Job DescriptionAt Scalable Capital, we are thrilled to announce an opportunity within our Data Department for a new ML Engineering role in our growing Data Science team. This role focuses on bridging the gap between software development and Machine Learning, primarily working on applied generative AI use cases. In this newly formed work stream, you will have the unique opportunity to lay the foundations and set the right direction.Responsibilities:Identify, evaluate, implement, and maintain (Gen) AI / ML technologies for internal but also potential future client-serving services by following software engineering best practicesDrive the development of appropriate architectures for deploying and maintaining scalable ML/(Gen) AI solutionsContribute to infrastructure components, CI/CD pipelines, configure, extend, and maintain our existing ML services on AWSEvaluate retrieval techniques, language models, and generative AI methodologies by not losing your focus on pragmatic solutionsImplement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systemsCollaborate with cross-functional teams to ensure the successful integration of AI systems into business processesStay up to date with the latest industry developments and technologies to ensure our solutions remain at the forefront of innovationQualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related fieldA generalist mindset to continuously learn and open to switch between different technical domains like Backend, Frontend, AI/ML InfrastructureExtensive experience in AI/ML technologies and software development (Python)Experience with dockerization, cloud platforms, preferably AWS (ECS, Lambdas, API Gateway,...), and related ML/GenAI services such as AWS Bedrock, Sagemaker ideally provisioning them using Infrastructure as Code (terraform)Familiarity with building CI/CD pipelines (e.g., Jenkins, GitHub Actions) and version control practicesConfidence in working with modern agentic workflow orchestration frameworks like Langgraph and LlamaIndexStrong understanding of chains, routing, agents, Retrieval-Augmented Generation (RAG), and the use of vector databases for managing structured and unstructured data sourcesExperience with FastAPI for building and deploying APIsFamiliarity with MLOps practices, understanding the lifecycle of ML model development and deployment, performance monitoring and how this can be also applied to LLM use casesInterest in financial services and markets is a plusExperience with building frontends (e.g., Next.js would be a big plus) is a plusStrong project management and organisational skills paired with excellent problem solving skills and hands on mentalityAdditional InformationBe 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 customersWork with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clientsWork from our centrally located offices in the heart of Munich or Berlin, nestled in lively neighborhoods filled with vibrant restaurants, cozy cafĂ©s, and a wide range of convenient amenities or choose to work remotely within Germany (if eligible for the job)Be productive with the latest hardware and toolsLearn and grow by joining our in-house knowledge sharing sessions and spending your individual Education Budget Learn and experience German culture first hand by joining our free German language classes(International) relocation supportFlexible vacation policy and the opportunity to work from abroadBenefit from an attractive compensation package and from the company pension schemeMonthly contribution of 25% for the âDeutschland JobticketâSay goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker
Apply Now