Alchi Design Studio

AI/ML Engineer - Healthcare — Medical Imaging (CT, X-Ray, DICOM/PACS)

Alchi Design Studio

New Delhi•Remote•1-3 Yrs•Jun 23

Remote

Role: AI/ML Engineer

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

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.
Proven experience in healthcare AI — medical imaging (CT, X-ray, MRI, DICOM) is mandatory
Proficiency in ML frameworks: PyTorch, TensorFlow, or equivalent
Strong knowledge of DICOM standards and PACS integration
Hands-on experience with ophthalmic or radiology imaging AI pipelines
Solid understanding of HL7, clinical data interoperability, and healthcare data privacy (HIPAA/GDPR)
Exposure to multimodal AI pipelines combining imaging + structured EHR data
Familiarity with clinical trial data management systems
Knowledge of ophthalmic imaging devices and datasets

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