Company Description

Scalable Capital is a leading digital investment platform in Europe.
Since our foundation in 2014, we pursue the mission to empower everyone to become an investor. With the Scalable Broker, and our digital wealth management service Scalable Wealth as well as our solutions for B2B partners we offer easy and cost efficient investing for everyone.
Today, Scalable Capital is a FinTech unicorn - we have more than 600,000 customers and more than 17 billion Euros on our platform.

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 Description

At Scalable Capital, we are thrilled to expand our Data Department with multiple new ML Engineering roles in our growing Data Science team. 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. In any case, 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 practices
• Drive the development of appropriate architectures for deploying and maintaining scalable ML/(Gen) AI solutions
• Build infrastructure components, CI/CD pipelines, configure, extend, and maintain our existing ML services on AWS
• Evaluate retrieval techniques, language models, and generative AI methodologies by not losing your focus on pragmatic solutions
• Implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems
• Collaborate with cross-functional teams to ensure the successful integration of AI systems into business processes
• Stay up to date with the latest industry developments and technologies to ensure our solutions remain at the forefront of innovation

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field
• A generalist mindset to continuously learn and open to switch between different technical domains like Backend, Frontend, AI/ML Infrastructure
• Extensive experience in AI/ML technologies and software development (Python)
• Experience with building frontends (e.g., Next.js would be a big plus)
• Experience with dockerization, cloud platforms, preferably AWS (ECS, Lambdas, API Gateway,...), and related ML/GenAI services such as AWS Bedrock, Sagemaker
• Familiarity with building CI/CD pipelines (e.g., Jenkins, GitHub Actions) and version control practices
• Confidence in working with modern machine learning libraries such as scikit-learn, PyTorch, Transformers, Langchain, LlamaIndex
• Strong understanding of chains, routing, agents, Retrieval-Augmented Generation (RAG), and the use of vector databases for managing structured and unstructured data sources
• 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
• Ideally hands on experience with model training, fine-tuning, evaluation, optimization, risk mitigation even in production environments
• Experience with Infrastructure as Code (e.g., terraform)
• Interest in financial services and markets is a plus
• Strong project management and organisational skills paired with excellent problem solving skills and hands on mentality

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
• Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
• Enjoy an office in a great location in the middle of Munich, Berlin Mitte or Vienna (if eligible for the job)
• Be productive with the latest hardware and tools
• Learn 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 support
• Enjoy your free time with 30 paid vacation days and take the opportunity to work from abroad
• Benefit from an attractive compensation package and from the company pension scheme
• Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker