Computer Vision/ML Engineer

Qualifications

• Master's or PhD in Machine Learning or Computer Vision
• Strong C++ skills essential for edge deployment
• Proficient in Python for ML tasks
• 5+ years of experience deploying computer vision models in production
• Hands-on knowledge of PyTorch and edge AI optimization
• Solid understanding of data structures and CV algorithms
• Ability to work independently and manage complex projects

Responsibilities

• Design and deploy computer vision models for real-time applications
• Optimize models for embedded systems using advanced techniques
• Build and maintain MLOps pipelines for model management
• Develop video processing pipelines integrating ML and classical techniques
• Establish engineering best practices to reduce technical debt
• Contribute to the architecture of the computer vision platform
• Collaborate from research to production deployment processes

Benefits

• Immediate impact on patient care through your work
• High level of autonomy and influence in role
• Engage in advanced AI applications within healthcare
• Collaborate with a diverse and talented international team
• Access to cutting-edge technologies in AI and robotics
• Culture centered on transparency and continuous learning