RemoteAi

Brainlab

2023-07-26
Germany/ Remote
$131K - $201K USD

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(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.

Qualifications

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