(Senior) Machine Learning Platform Engineer
(Senior) Machine Learning Platform Engineer
Posted on :
24-05-2025
Employer Active
1 Vacancy
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Job Description
For our ambitious and growing Snke Anatomy department we are looking for a machine learning platform engineer with a strong background in building state-of-the-art MLOps infrastructure.
In this position you will:
- shape the development and productization of AI-based solutions for medical use-cases
- design build and maintain systems to enable complex development workflows throughout the machine learning life cycle (from data processing to experimentation model training and evaluation)
- set up and operate complex computing environments based on local and cloud resources using modern DevOps / MLOps techniques
- work closely with our machine learning engineers to establish new standards in development efficiency automation and reproducibility
- set up processing pipelines to make complex medical data accessible in the best possible way
Qualifications :
- Education in Computer Science natural sciences or similar background
- Demonstrated experience in designing complex computing environments based on Linux and ideally Windows including solid understanding of networking storage and authentication concepts as well as infrastructure-as-code technologies (e.g. Ansible and/or Terraform)
- Proven experience setting up and maintaining container (i.e. Docker) orchestration tools (in particular Kubernetes) and container management
- Track record of working on CI/CD (e.g. Github actions)
- Good knowledge in the setup and operation of cloud-based computing environments (ideally AWS)
- Good understanding of the success factors for modern software development (ideally in the context of machine learning) and a strong agile DevOps mindset
- Broad knowledge of the ML/DL development process and data pipelines
- Solid programming experience in Python; C is a plus
Additional Information :
- A mutually-supportive international team
- Opportunity to build career experience in an exciting international company with a lasting impact on medical technology based in Munich
- Flexible working hours
- Secure bicycle storage room
- Subsidized catering service
- Subsidized Gold Gym membership
- Centrally located modern work spaces with a great 212m roof terrace
Ready to apply We look forward to receiving your online application including your first available start date.
Contact person: Elisabeth Karro
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
Key Skills
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