Computer Vision & MLOps Engineer

Artidis; Basel; On-site; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Bonus for outstanding performance

Job summary

ARTIDIS in Basel develops AI-enabled tissue analysis solutions for oncology. The role focuses on building production-grade computer vision systems and robust MLOps pipelines to accelerate drug discovery and personalized therapies.

The ideal candidate has deep expertise in Python ML stacks, OpenCV, and deploying ML models at scale in cloud environments, with experience in medical imaging and model lifecycle management.

Qualifications

• Strong Python experience with ML libraries and NumPy/Pandas.
• Experience with OpenCV and CV for medical images.
• Experience deploying ML models in cloud environments and managing lifecycles.

Responsibilities

• Develop and deploy computer vision models for medical image classification and segmentation.
• Design end-to-end ML pipelines and manage model lifecycle from experimentation to production.
• Build, automate and maintain scalable MLOps infrastructure with monitoring.
• Optimize models for medical device and cloud deployment.

Skills

Python

TensorFlow

PyTorch

OpenCV

Medical image processing

Image segmentation

Object recognition

Tools

Kubernetes

Docker

Git

Argo CD

Argo Workflows

Helm

Kubeflow

MLflow

Job description

About ARTIDIS

Artidis® AG is a pioneering clinical stage health technology company that aims to set the gold standard in tissue analysis and therapy optimization. By combining its nanotechnology platform for rapid tissue analysis with a holistic data solution, Artidis® accelerates drug discovery, tissue engineering, and personalized treatment. Artidis® focuses its research and development efforts on solid tumors to enhance responses to chemotherapy, immunotherapy, and cell therapies, driving precision in cancer care.

Job Purpose

This role combines deep technical expertise in computer vision with strong MLOps capabilities to build and maintain production-grade AI systems.

Duties

• Develop and deploy computer vision models for:
  
  
  
  • Medical image classification
  
  
  • Advanced segmentation
  
  
  • Compleximage analysis
  
  
  
  

• Implement solutionsusing deep learning and classicaltechniques


• Optimizemodels for medical device and cloud deployment


• Design and implement end-to-end MLpipelines


• Manage model lifecycle from experimentation to production


• Build, automate and maintain scalable MLOps infrastructure


• Implement robust monitoringand observability solutions

Qualifications

Technical Skills - ML & Computer Vision:

• Proficiency in Python data stack (TensorFlow, PyTorch, numpy, pandas, scikit-learn).


• Experience with OpenCV and other relevant computer vision libraries.


• Strong background in computer vision solutions for medical images.


• Expertise in developing and implementing computer vision solutions mainly image segmentation and object recognition.

Technical Skills - DevOps & MLOps:

• Experience with Kubernetes operators and custom resources.


• Proficiency in Docker containerization and multi-stage builds.


• Advanced Git knowledge (branching strategies, workflows).


• Experience Building and maintaining end-to-end ML pipelines.


• Hands-on experience with Argo CD and Argo Workflows for ML pipelines.


• Experience with infrastructure automation tools like: Helm charts for Kubernetes deployments.


• Experience setting up and maintaining CI/CD pipelines.


• Hands-on experience with model lifecycle management.


• Hands-on experience with MLOps platforms: MLflow, Kubeflow...

Professional Skills

• High level of expression and comprehension of the English language.


• Experience in digital health and driving innovation in healthcare is highly desirable.


• Commitment to writing documented, clear, efficient, and maintainable code.


• Ability to design and implement requirements with long-term objectives, scalability, and maintainability in mind.


• Proactive way of communicating and working.


• Ability to work independently and take ownership without extensive supervision.


• Strong team player.

Working Conditions

The environment is a typical start-up with an intrinsically motivated international team. Our company is an excellent place for rapid advancement and offers a promising opportunity to learn and share know-how in a very agile environment. The position requires the employee to go the extra mile when needed. We are looking for a team player who appreciates direct communication. The effort is rewarded with challenging tasks, the possibility to take responsibility, a highly driven team, and work serving a significant purpose. The job position comes with a competitive salary and a bonus for outstanding performance.