(Senior) Machine Learning Engineer - MLOps

Company Description

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! We are looking for pioneers to lead fast & lead first with Snke OS.
Job Description
For our ambitious and growing Data Intelligence department, we are looking for a machine learning engineer with experience in state-of-the-art ML training platforms. 
In this position, you will 
  • shape the development and productization of AI based solutions for medical use-cases 
  • work on learning-based solutions for a variety of tasks in medical data analysis with a particular focus on the processing of medical images and videos (e.g. image segmentation, object detection and more) 
  • design, build, and maintain systems to enable complex development workflows throughout the machine learning life cycle (from data processing to experimentation, model development/training, and ultimately deployment of solutions) 
  • set up and operate complex computing environments based on local and cloud resources, using a modern DevOps / MLOps tech-stack 
  • establish new standards in development efficiency, automation, and reproducibility 
  • set up processing pipelines to make complex medical data accessible in the best possible way 
  • share your knowledge and provide technical guidance to your colleagues in the development team. 
  • Education in Computer Science, natural sciences, or similar background 
  • Ideally, you have worked on a PhD in a relevant area or gained this experience during a range of projects in an industrial setting 
  • Profound demonstrated experience in using modern machine learning methods along with classic computer vision approaches to solve challenging problems in the area of image processing 
  • Experience in state-of-the-art ML tooling related to experiment management, containerization, orchestration, processing pipelines and data version control. 
  • Good knowledge in the setup and operation of cloud-based computing environments (ideally AWS) 
  • Solid programming experience in Python; C++ is a plus 
  • Preferred: 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 
Additional Information
  • Centrally located, modern work spaces
  • 30 days of vacation plus 24.12. and 31.12.
  • Flexible working hours as well as hybrid work model within Germany
  • Secure bicycle storage room
  • Regular after-work, team & company events
  • Great 212m² roof terrace
  • International team of supportive colleagues
  • Comprehensive training and continuing education opportunities
Interested? Then we are looking forward to receiving your online application!
Contact person: Daniel Sypli

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