Computer Vision & MLOps Engineer; Fully Remote

• Combine deep technical expertise in computer vision with strong MLOps capabilities.
• Build and maintain production-grade AI systems for medical device and cloud deployment.

• Develop and deploy computer vision models for medical image classification and advanced segmentation.
• Design and implement end-to-end ML pipelines, managing the model lifecycle.
• Build and automate scalable MLOps infrastructure with monitoring and observability solutions.

• Proficiency in Python data stack, deep learning frameworks, and OpenCV.
• Experience with Kubernetes, Docker, Argo CD/Workflows, and MLflow/Kubeflow.
• Strong communication skills and ability to work independently in a team.

• Competitive salary and a bonus for outstanding performance.
• Challenging tasks, ownership opportunities, and a highly driven international team.

Artidis is a clinical stage health technology company developing a nanotechnology platform for rapid tissue analysis to accelerate drug discovery and personalized treatment. It is a start-up with an intrinsically motivated international team, offering an agile environment and rapid advancement opportunities.