At 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 practices
- Drive the development of appropriate architectures for deploying and maintaining scalable ML/(Gen) AI solutions
- Contribute to 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 :
- Bachelors or Masters 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 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 practices
- Confidence in working with modern agentic workflow orchestration frameworks like Langgraph and LlamaIndex
- Strong understanding of chains routing agents Retrieval-Augmented Generation (RAG) and the use of vector databases for managing structured and unstructured data sources
- Experience with FastAPI for building and deploying APIs
- 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
- Interest in financial services and markets is a plus
- Experience with building frontends (e.g. would be a big plus) 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
- Work from our centrally located offices in the heart of Munich or Berlin nestled in lively neighborhoods filled with vibrant restaurants cozy cafs 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 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
- Flexible vacation policy and the opportunity to work from abroad
- Benefit from an attractive compensation package and from the company pension scheme
- Monthly contribution of 25% for the Deutschland Jobticket
- Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capitals PRIME Broker
Remote Work :
Yes
Employment Type :
Full-time