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 and access to Brainlab headquarters modern gym
* Centrally located, modern work spaces with a great 212m² roof terrace
Ready to apply? We look forward to receiving your online application including your first available start date.
Contact person: Elisabeth Karro