
Healthcare imaging AI companies don't fail because they lack ideas. They fail because building regulated, production-grade medical products is harder than most teams anticipate, and infrastructure is where most of them break.The Engineers who can can build those systems in regulated healthcare environments are exceptionally rare.
Ivy League Staffing exists to solve this exact problem.ILS helps healthcare AI companies hire world-class MLOps, ML Infrastructure, and Platform Engineers with experience in DICOM, FDA-regulated AI, and clinical ML workflows.
ILS supports healthcare imaging AI teams by connecting them with MLOps, ML Infrastructure, and Platform Engineering talent experienced in regulated clinical environments. We work with engineers who have operated in DICOM-driven, FDA-regulated workflows and understand the practical realities of deploying machine learning systems in healthcare settings.What clients value when working with ILS:Access to engineers with relevant healthcare imaging experience, including DICOM, PACS, FDA-regulated ML systems, and clinical deployment environments.A faster, more focused hiring process, pre-vetted MLOps and ML infrastructure engineers aligned to your imaging workflows and technology stack.A vetted network of experienced specialists. Professionals in MLOps, ML infrastructure, model deployment, and imaging AI pipelines who are interview-ready and accustomed to production environments.⭐ 100-Day Replacement GuaranteeEvery ILS placement is backed by our extensive 100-day replacement guarantee for added peace of mind.
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Why Top Engineers Join the ILS Network.
We focus on engineers building the backbone of medical imaging AI.Whether your background spans MLOps, ML infrastructure, cloud ML systems, DICOM/PACS pipelines, or FDA-regulated clinical ML deployment, ILS introduces you to opportunities aligned to your experience and technical interests.Spend your time on serious opportunities, not noise.
We connect experienced engineers with roles that are relevant to their background, interests, and technical depth, so your time is spent on meaningful conversations, not mass outreach.Have conversations where your expertise actually matters.
We introduce you to teams that value experience in MLOps, ML infrastructure, cloud ML systems, DICOM/PACS pipelines, and FDA-regulated clinical deployment, so interviews focus on real problems rather than generic screening.Work on technology with real-world impact.
Engage with funded companies building and deploying imaging and clinical AI systems used in healthcare settings, including radiology AI, image analysis, and clinical decision support.Reduce recruiter friction.
Opportunities are shared selectively based on your stated goals, compensation preferences, and preferred technology stack—helping you avoid irrelevant outreach and repeated explanations.Stay in control of the process.
Explore roles confidentially and at your own pace. ILS supports communication and coordination throughout the interview process, from initial introductions through offer discussions.
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