Elevate your career with mlHealth 360 as a Machine Learning Engineer specializing in healthcare and AI innovation. Design scalable data pipelines and deploy cutting-edge models in medical imaging environments.
As a key player in our dynamic team, you'll be responsible for developing data-driven solutions and ensuring the optimal performance of machine learning models. Collaborate closely with data scientists and software engineers to drive AI deployments in clinical settings. Your skills in deep learning and regulatory compliance are essential to transforming radiology.
Key Responsibilities:
• Design and develop ETL processes for medical imaging data
• Build and deploy high-accuracy computer vision models
• Optimize ML models for clinical performance benchmarks
• Support zero-cloud and on-premise AI deployments
• Implement data validation and monitoring for bias detection
Requirements:
• Bachelor’s or Master’s in Computer Science or Biomedical Engineering
...