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 applicants 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 clientserving 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 crossfunctional 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 fieldA generalist mindset to continuously learn and open to switch between different technical domains like Backend Frontend AI / ML InfrastructureExtensive 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 SagemakerFamiliarity with building CI / CD pipelines (e.g. Jenkins GitHub Actions) and version control practicesConfidence in working with modern machine learning libraries such as scikitlearn PyTorch Transformers Langchain LlamaIndexStrong understanding of chains routing agents RetrievalAugmented Generation (RAG) and the use of vector databases for managing structured and unstructured data sourcesFamiliarity with MLOps practices understanding the lifecycle of ML model development and deployment performance monitoring and how this can be also applied to LLM use casesIdeally hands on experience with model training finetuning evaluation optimization risk mitigation even in production environmentsExperience with Infrastructure as Code (e.g. terraform)Interest in financial services and markets is a plusStrong project management and organisational skills paired with excellent problem solving skills and hands on mentalityAdditional Information :
Be part of one of the fastestgrowing and most visible Fintech startups in Europe creating innovative services that have a substantial impact on the lives of our customersWork with an international diverse inclusive and evergrowing team that loves creating the best products for our clientsEnjoy an office in a great location in the middle of Munich Berlin or choose to work remotely within Germany (if eligible for the job)Flexible vacation policy and the opportunity to work from abroadBe productive with the latest hardware and toolsLearn and grow by joining our inhouse knowledge sharing sessions and spending your individual Education BudgetRemote Work : Employment Type :
Fulltime
Key Skills
Spring,.NET,C / C++,Go,React,OOP,C#,AWS,Data Structures,Software Development,Java,Distributed Systems
Experience : years
Vacancy : 1