(Senior) ML Platform / DevOps Engineer

Brainlab; München; Hybrid; EUR 55.000 - 85.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen in der Gesundheitsbranche sucht einen Machine Learning Platform Engineer, der die Entwicklung und Produktisierung von KI-Lösungen vorantreibt. In dieser spannenden Rolle gestalten Sie komplexe Rechenumgebungen und setzen moderne MLOps-Techniken ein, um die Effizienz und Automatisierung im Entwicklungsprozess zu verbessern. Mit einem internationalen Team von unterstützenden Kollegen und einem flexiblen Arbeitsmodell innerhalb Deutschlands bietet diese Position die Möglichkeit, an der Spitze der digitalen Transformation im Gesundheitswesen zu arbeiten. Wenn Sie leidenschaftlich an Technologie interessiert sind und den nächsten Schritt in Ihrer Karriere machen möchten, freuen wir uns auf Ihre Bewerbung.

Leistungen

30 Tage Urlaub

Flexible Arbeitszeiten

Hybrides Arbeitsmodell

Sichere Fahrradabstellräume

Regelmäßige Teamevents

Große Dachterrasse

Umfassende Weiterbildungsmöglichkeiten

Qualifikationen

• Erfahrung in der Gestaltung komplexer Rechenumgebungen basierend auf Linux.
• Kenntnisse in der Container-Orchestrierung, insbesondere Kubernetes.

Aufgaben

• Entwicklung und Produktisierung von KI-basierten Lösungen für medizinische Anwendungsfälle.
• Einrichten und Betreiben komplexer Rechenumgebungen mit modernen DevOps-Techniken.

Kenntnisse

Python

MLOps

Kubernetes

Cloud Computing

Agile Development

C++

Networking

Storage Concepts

Infrastructure as Code

Ausbildung

Computer Science

Natural Sciences

Tools

AWS

Linux

Windows

Jobbeschreibung

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 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

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
• 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

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!