Senior ML Engineer Software Engineer Machine Learning AI mfx onsite or remote in Germany
Senior ML Engineer Software Engineer Machine Learning AI mfx onsite or remote in Germany
Posted on :
26-12-2024
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1 Vacancy
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Job Description
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 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 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 scikitlearn PyTorch Transformers Langchain LlamaIndex
- Strong understanding of chains routing agents RetrievalAugmented 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 finetuning evaluation optimization risk mitigation even in production environments
- Experience with Infrastructure as Code (e.g. terraform)
- Interest in financial services and markets 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 fastestgrowing 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 evergrowing team that loves creating the best products for our clients
- 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)
- Flexible vacation policy and the opportunity to work from abroad
- Be productive with the latest hardware and tools
- Learn and grow by joining our inhouse knowledge sharing sessions and spending your individual Education Budget
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
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