(Senior) ML Platform / DevOps Engineer (m/w/d)
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.
(Senior) ML Platform / DevOps Engineer
For our ambitious and growing Data Intelligence 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 ultimately deployment of solutions)
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
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
Proven experience setting up and maintaining container orchestration tools (in particular Kubernetes) and container management.
Good knowledge in the setup and operation of cloud-based computing environments (ideally AWS)
Solid programming experience in Python; C++ is a plus
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
Fluent in English, German is a plus
Centrally located, modern work spaces
30 days of vacation plus 24.12. and 31.12.
Flexible working hours
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