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

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

• 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 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., Next.js would be a big plus) is a plus
• Strong project management and organisational skills paired with excellent problem solving skills and hands on mentality

What We Offer

• 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 cafés, 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 Capital's PRIME+ Broker