Role: AI/ML Engineer
Engagement Type : Freelance / Contract
Domain :Healthcare — Medical Imaging (CT, X-Ray, DICOM/PACS)
Location: Remote
Experience Required: 5+ Years (Healthcare AI mandatory)
We are looking for a seasoned AI/ML Engineer with deep expertise in healthcare technology, specifically in medical imaging AI. You will work on building and integrating AI-powered solutions that help clinicians and researchers gain faster, more accurate insights from CT scans, X-rays, and other diagnostic imaging data. This is a high-impact freelance engagement with the opportunity to directly influence patient outcomes through technology.

Key Responsibilities
- Design and develop AI/ML models for analysing CT scans, X-rays, and ophthalmic imaging data
- Build and maintain DICOM adapter services to integrate with PACS systems (e.g., HeyEx1, HeyEx2, Zeiss Forum)
- Enable ingestion and normalisation of medical imaging data for AI and analytics pipelines
- Deliver FHIR-based integrations with EHRs, clinical systems, and image management platforms




- Integrate AI models into clinical workflows to surface real-time insights for clinicians and researchers
- Contribute to clinical trial acceleration tools using multimodal data (EHR, imaging, AI outputs)
- Build and maintain core platform services and internal frameworks across product teams
- Embed AI-powered decision-support and trial enrichment tools directly into researcher and clinician workflows

Must-Have Skills & Experience
- Proven experience in healthcare AI — medical imaging (CT, X-ray, MRI, DICOM) is mandatory
- Proficiency in ML frameworks: PyTorch, TensorFlow, or equivalent
- Solid knowledge of DICOM standards and PACS integration
- Experience with FHIR-based data exchange and EHR system integrations
- Hands-on experience with ophthalmic or radiology imaging AI pipelines
- Solid understanding of HL7, clinical data interoperability, and healthcare data privacy (HIPAA/GDPR)
- Experience delivering production-grade AI ser

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