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deepeye Medical
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Data Scientist / DevOps - AI Medical Imaging (w/m/d) - Remote or Hybrid (Munich, Germany) Freelance or Full-Time (6 months, potential to extend or hire)
Germany
· Contract
·
Associate
Our mission is to prevent vision loss and ultimately blindness by developing AI software that assists eye doctors in therapy planning for their patients. We use computer vision deep learning models (AI) trained on thousands of cases and millions of images to identify and predict disease progression. The decision support algorithm targets popular eye diseases like Age-related Macular Degeneration (AMD, affecting 7.5 million people in Germany alone).
Tasks
Your must-haves:
To help us streamline the application process, we require:
Tasks
- Build and optimize data pipelines to integrate information from different sources, including imaging and clinical data.
- Apply curiosity, problem-solving skills, and statistical and mathematical knowledge to create impactful solutions.
Your must-haves:
- Master's degree in data science, engineering, computer science, medical physics, or a similar field.
- Experience in computer vision, ideally in medical imaging.
- Applied DevOps knowledge in integration, building, automation testing, and deploying ML pipelines on cloud infrastructure (like GCP, Azure, AWS).
- Applied knowledge of deep learning and machine learning (e.g., CNN, UNet, ML techniques like cross-validation, train/validation/test sets).
- Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch).
- Working-level English (C1 or higher).
- Experience working in interdisciplinary teams with doctors, data scientists, and engineers.
- Familiarity with relational databases (e.g., PostgreSQL).
- Direct impact on improving the quality of life for patients and doctors.
- Immediate responsibility for projects and opportunities for fast personal growth.
- Flexible working hours, remote work options, and a modern office at Munich main station.
- Competitive compensation, a startup culture, and an international, dynamic team.
To help us streamline the application process, we require:
- Your CV or link to your relevant profile (e.g., GitHub, LinkedIn).
- A maximum 1-page cover letter where you describe:
- Your motivation for working in healthcare.
- An example of your favorite computer vision problem you’ve tackled (academic or work-related).
- Your availability.
- Salary expectations.
Key Skills
Ranked by relevance
c
ai
ui
ha
computer vision
deep learning
machine learning
postgresql
tensorflow
pytorch
python
devops
cloud
git
sql
aws
gcp
esp
lan
ios
eop
cis
san
nat
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Login to Apply
- Posted
- Dec 13, 2024
- Type
- Contract
- Level
- Associate
- Location
- Germany
- Company
- deepeye Medical
Industries
IT Services
IT Consulting
Categories
Science
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3 roles aligned with this opportunity
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2026-05-21
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