[Hiring] Computer Vision & MLOps Engineer @Artidis

Role Description

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
  • Complex image analysis
• Implement solutions using deep learning and classical techniques
• Optimize models for medical device and cloud deployment
• Design and implement end-to-end ML pipelines
• Manage model lifecycle from experimentation to production
• Build, automate and maintain scalable MLOps infrastructure
• Implement robust monitoring and observability solutions

Qualifications

• 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
• 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...
• 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.