AI/ML Engineer - Healthcare Medical Imaging (CT, X-Ray, DICOM/PACS)
Internshala
About the job
Role: AI/ML EngineerEngagement Type : Freelance / ContractDomain :Healthcare Medical Imaging (CT, X-Ray, DICOM/PACS)Location: RemoteExperience 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 ResponsibilitiesDesign and develop AI/ML models for analysing CT scans, X-rays, and ophthalmic imaging dataBuild 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 pipelinesDeliver FHIR-based integrations with EHRs, clinical systems, and image management platformsIntegrate AI models into clinical workflows to surface real-time insights for clinicians and researchersContribute to clinical trial acceleration tools using multimodal data (EHR, imaging, AI outputs)Build and maintain core platform services and internal frameworks across product teamsEmbed AI-powered decision-support and trial enrichment tools directly into researcher and clinician workflows
Must-Have Skills & ExperienceProven experience in healthcare AI medical imaging (CT, X-ray, MRI, DICOM) is mandatoryProficiency in ML frameworks: PyTorch, TensorFlow, or equivalentStrong knowledge of DICOM standards and PACS integrationExperience with FHIR-based data exchange and EHR system integrationsHands-on experience with ophthalmic or radiology imaging AI pipelinesSolid understanding of HL7, clinical data interoperability, and healthcare data privacy (HIPAA/GDPR)Experience delivering production-grade AI services in clinical environmentsGood to HaveExposure to multimodal AI pipelines combining imaging + structured EHR dataFamiliarity with clinical trial data management systemsExperience with cloud platforms (AWS, GCP, Azure) for healthcare workloadsKnowledge of ophthalmic imaging devices and datasets
Ideal Candidate ProfileThe ideal candidate has worked at the intersection of clinical research and engineering someone who understands both the technical complexities of medical imaging pipelines and the sensitivity required in healthcare environments. You are comfortable working independently, delivering high-quality outputs, and collaborating with cross-functional teams including clinicians, product managers, and data scientists.
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