Scalable is hiring a
Senior ML Engineer, Remote - Germany

Summary

The job is for multiple ML Engineering roles within Scalable Capital's Data Department. The role involves working on the infrastructure side (MLOps) or bridging software development and Machine Learning. The position offers the opportunity to lay foundations and set the right direction for a new work stream.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field
• 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)

Responsibilities

• Identify, evaluate, implement, and maintain AI/ML technologies
• Drive the development of appropriate architectures for deploying and maintaining scalable ML solutions
• Build infrastructure components, CI/CD pipelines, configure, extend, and maintain existing ML services on AWS
• Evaluate retrieval techniques, language models, and generative AI methodologies
• 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

Preferred Qualifications

Interest in financial services and markets is a plus

Benefits

• Be part of one of the fastest-growing and most visible Fintech startups in Europe
• Work with an international, diverse, inclusive, and ever-growing team
• 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)
• 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