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

Description:

• Scalable Capital is expanding its Data Department with multiple new ML Engineering roles in its growing Data Science team.
• The role can focus on either the infrastructure side (MLOps) or bridge the gap between software development and Machine Learning.
• Responsibilities include identifying, evaluating, implementing, and maintaining (Gen) AI / ML technologies for internal and potential client-serving services.
• The candidate will drive the development of architectures for deploying and maintaining scalable ML/(Gen) AI solutions.
• Building infrastructure components, CI/CD pipelines, and maintaining existing ML services on AWS is required.
• The role involves evaluating retrieval techniques, language models, and generative AI methodologies while focusing on pragmatic solutions.
• Implementing automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems is essential.
• Collaboration with cross-functional teams to integrate AI systems into business processes is expected.
• Staying updated with the latest industry developments and technologies to keep solutions innovative is crucial.

Requirements:

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

Benefits:

• The opportunity to be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that impact customers' lives.
• Work with an international, diverse, inclusive, and ever-growing team dedicated to creating the best products for clients.
• Enjoy an office in a prime location in Munich, Berlin, or the option to work remotely within Germany (if eligible for the job).
• Access to the latest hardware and tools to enhance productivity.
• Opportunities for learning and growth through in-house knowledge sharing sessions and an individual Education Budget.