For our ambitious and growing Snke Anatomy department we are looking for a machine learning platform engineer with a strong background in building stateoftheart MLOps infrastructure.
In this position you will :
- shape the development and productization of AIbased solutions for medical usecases
- 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 backgroundDemonstrated experience in designing complex computing environments based on Linux and ideally Windows including solid understanding of networking storage and authentication concepts as well as infrastructureascode technologies (e.g. Ansible and / or Terraform)Proven experience setting up and maintaining container (i.e. Docker) orchestration tools (in particular Kubernetes) and container managementTrack record of working on CI / CD (e.g. Github actions)Good knowledge in the setup and operation of cloudbased 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 mindsetBroad knowledge of the ML / DL development process and data pipelinesSolid programming experience in Python; C is a plusAdditional Information :
A mutuallysupportive international teamOpportunity to build career experience in an exciting international company with a lasting impact on medical technology based in MunichFlexible working hoursSecure bicycle storage roomSubsidized catering serviceSubsidized Gold Gym membership and access to Brainlab headquarters modern gymCentrally located modern work spaces with a great 212m roof terraceReady to apply We look forward to receiving your online application including your first available start date.
Contact person : Daniel Sypli
Remote Work : Employment Type :
Fulltime
Key Skills
Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting
Experience : years
Vacancy : 1