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AI Engineer Advisor

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Location: Remote
Compensation: Salary
Reviewed: Wed, Nov 11, 2026
This job expires in: 30 days

Job Summary

To support healthcare technology advancements, the full-time remote AI Engineer Advisor will design, develop, and deploy AI and Generative AI solutions, optimizing their integration into existing systems to improve healthcare outcomes and operational efficiency.

Key responsibilities
  • Design, build, and train machine learning and Generative AI models for healthcare applications
  • Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability and scalability
  • Monitor and optimize AI models for accuracy and efficiency, ensuring compliance with healthcare regulations
Required qualifications
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or a related field
  • Over 6 years of experience in AI/ML engineering with a focus on developing and deploying AI solutions
  • Proficiency in Python, TensorFlow, PyTorch, and other AI frameworks
  • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments
  • Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus

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