dev-ops

Brainlab

<div><section><div><p></p><h2>Company Description</h2></div><div><p>Snke OS™ is a universally deployable digital B2B platform, founded in 2020 &amp; 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 &amp; deploying their best-in-class platform &amp; team so that other companies can scale up &amp; innovate efficiently. Fueled by AI &amp; big data analytics, Snke OS delivers the platform &amp; infrastructure that enables partners across the healthcare industry to deploy digital solutions for safer &amp; more efficient interventions.<br><br>The 150-person Snke OS team brings a wealth of experience to the new company with backgrounds in large platforms, digital health &amp; software-driven medical technology. Let’s impact the industry together! We are looking for pioneers to lead fast &amp; lead first with <a href="https://www.snkeos.com/">Snke OS.</a></p></div></section><section><div><p></p><h2>Job Description</h2></div><div><p>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.</p><p>In this position, you will</p><ul><li>Shape the development and productization of AI-based solutions for medical use-cases</li><li>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)</li><li>Set up and operate complex computing environments based on local and cloud resources, using modern DevOps / MLOps techniques</li><li>Work closely with our machine learning engineers to establish new standards in development efficiency, automation, and reproducibility</li><li>Set up processing pipelines to make complex medical data accessible in the best possible way</li></ul></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li>Education in Computer Science, natural sciences, or similar background</li><li>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</li><li>Proven experience setting up and maintaining container orchestration tools (in particular Kubernetes) and container management.</li><li>Good knowledge in the setup and operation of cloud-based computing environments (ideally AWS)</li><li>Solid programming experience in Python; C++ is a plus</li><li>Good understanding of the success factors for modern software development (ideally in the context of machine learning) and a strong agile DevOps mindset</li><li>Broad knowledge of the ML/DL development process and data pipelines</li><li>Fluent in English, German is a plus</li></ul></div></section><section><div><p></p><h2>Additional Information</h2></div><div><ul><li>Centrally located, modern work spaces</li><li>30 days of vacation plus 24.12. and 31.12.</li><li>Flexible working hours as well as hybrid work model within Germany</li><li>Secure bicycle storage room</li><li>Regular after-work, team &amp; company events</li><li>Great 212m² roof terrace</li><li>International team of supportive colleagues</li><li>Comprehensive training and continuing education opportunities</li></ul><p>Interested? Then we are looking forward to receiving your online application!</p><p>Contact person: Daniel Sypli</p></div></section></div>

(Senior) ML Platform / DevOps Engineer

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