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# Medical Deep Learning Computer Vision Engineer

- **Company:** LUMA Vision GmbH
- **Location:** München, Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Software Quality, Code Review, Nvidia CUDA, Continuous Integration, Data Security, Python (Programming Language), Signal Processing, Software Engineering, Deep Learning, Git, Information Technology, Production Code, Machine Learning Operations
- **Published:** July 3, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=a83951166053bb0e

## About the Role

* BSc or MSc degree in computer science, biomedical engineering or a related field.
 * 3+ years of professional experience in image processing, computer vision or deep learning for real-world applications
 * Strong proficiency in Python with demonstrated ability to write production-grade code.
 * Professional experience in deep learning development for computer vision.
 * Proven ability to read, implement and critically evaluate state-of-the-art approaches from literature.
 * Expertise with 3D (and ideally 4D) data. Familiarity with medical imaging is highly preferred.
 * Experience working in a regulated environment or a strong appreciation for software quality practices including testing, documentation and validation.
 * Hands-on, collaborative problem-solving mindset and excellent communication skills in English.

Nice-to-Have:

 * Experience with C++ and/or CUDA.
 * Experience with medical imaging (cardiac focus and/or ultrasound a plus)
 * Exposure to MLOps and model deployment.
 * Secure data handling with GDPR compliance for sensitive (healthcare) data.

## Description

As a Medical Deep Learning Computer Vision Engineer, you will be responsible for working across research, technology development, and clinical application development. Your expertise makes you ready to own technical modules and processes end-to-end, working collaboratively within the team on both classical computer vision and artificial intelligence (AI) towards shipping production-quality code in Python and, where performance demands it, C++ and CUDA.

Your technical work will span from low-level signal processing to advanced deep learning and contribute to large-scale dataset preparation and curation. You will engage across research, hardware, clinical, and regulatory teams and help guide junior engineers through code reviews and technical design. You are comfortable using GIT and CI/CD to collaborate on and deliver code that is tested, documented, and ready for a regulated medical device environment.


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