Interim AI / ML Engineering Consultant - Medical Imaging

Our client, an innovative healthcare technology organization, is seeking an Interim AI/ML Engineering Consultant to lead the development of AI-powered imaging and reporting solutions. This individual will leverage large-scale medical imaging datasets to build machine learning models that identify abnormalities, prioritize critical studies, automate report generation, and enhance radiology workflows.

Responsibilities

• Design, develop, and deploy AI/ML models for medical imaging applications.
• Build intelligent reporting tools that generate draft radiology findings and patient-friendly summaries.
• Develop solutions that detect abnormalities and prioritize urgent cases.
• Integrate AI applications with PACS, RIS, DICOM, and related healthcare technologies.
• Support product implementation, customer onboarding, and user training.
• Collaborate with clinical and technical stakeholders to enhance workflow efficiency and product capabilities.
• Provide technical leadership for AI solution architecture, deployment, and optimization.

Requirements

• Proven experience developing AI/ML solutions in production environments.
• Strong expertise with Python and modern ML frameworks such as TensorFlow or PyTorch.
• Experience in computer vision, deep learning, or medical imaging analytics.
• Knowledge of healthcare data, imaging workflows, and healthcare system integrations.
• Strong communication skills with the ability to work across technical and business teams.

Preferred Qualifications

• Healthcare AI, radiology, medical imaging, or digital health experience.
• Knowledge of PACS, RIS, DICOM, and imaging data pipelines.
• Experience with AI-powered clinical decision support or automated reporting solutions.
• Background in customer-facing software implementations and product development.

Schedule

• Remote engagement
• Interim consulting opportunity
• Full-time, part-time, or fractional candidates considered