(Senior) Machine Learning Platform Engineer
Snke OS™ is a universally deployable digital B2B platform, founded in 2020 & headquartered in Munich. Emerging technologies continue to drive a digital transformation in the healthcare economy. Our founders recognized the potential for value creation by decoupling & deploying their best-in-class platform & team so that other companies can scale up & innovate efficiently. Fueled by AI & big data analytics, Snke OS delivers the platform & infrastructure that enables partners across the healthcare industry to deploy digital solutions for safer & more efficient interventions.
The 150-person Snke OS team brings a wealth of experience to the new company with backgrounds in large platforms, digital health & software-driven medical technology. Let’s impact the industry together!
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 great212m² roof terrace
Ready to apply? We look forward to receiving your online application including your first available start date.