Senior Medical Imaging Engineer - AWS & AI/ML Focus
About the Role
We are actively hiring a Senior Medical Imaging Engineer to join our innovative team at VBeyond Corporation. This Senior Medical Imaging Engineer remote position offers an exciting opportunity to work on cutting-edge healthcare imaging platforms powered by AWS and AI/ML technologies. As a key player in our team, you will lead and design enterprise-scale medical imaging solutions that significantly impact patient care.
What You'll Do
- Lead and design enterprise-scale medical imaging solutions.
- Architect cloud-native platforms on AWS to enhance healthcare imaging capabilities.
- Collaborate with cross-functional teams to integrate AI/ML technologies into imaging platforms.
- Ensure compliance with healthcare regulations and standards.
- Mentor junior engineers and provide technical guidance.
Requirements
- 5+ years of experience as a Medical Imaging Engineer or Architect.
- Strong expertise in AWS cloud services and medical imaging technologies.
- Experience with AI/ML applications in healthcare.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication skills and ability to collaborate with diverse teams.
Nice to Have
- Experience with regulatory compliance in healthcare.
- Familiarity with image processing algorithms.
- Previous experience in a leadership role.
What We Offer
- Competitive salary ranging from $140,000 to $180,000 per year.
- Relocation assistance and benefits for qualified candidates.
- Opportunity to work on a high-impact, innovative healthcare platform.
- Stable, long-term engagement with a strong engineering roadmap.
- Open to all work authorizations.
This role offers a unique opportunity to lead innovative healthcare imaging solutions using advanced technologies. Competitive salary and relocation assistance make it attractive.
Who Will Succeed Here
Expertise in AWS services such as S3, EC2, and Lambda, combined with hands-on experience in deploying scalable medical imaging solutions in a cloud environment.
Strong proficiency in AI/ML frameworks like TensorFlow or PyTorch, with a demonstrated ability to integrate machine learning algorithms into medical imaging workflows for enhanced diagnostic capabilities.
Proven experience in medical image processing techniques, such as DICOM handling and image segmentation, along with a strong analytical mindset to evaluate and improve imaging algorithms.
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