Principal Architect for Generative AI in Healthcare

We are seeking a highly qualified Principal Architect for Generative AI in Healthcare to lead our healthcare AI development team. The candidate will be responsible for designing, developing, and implementing generative AI models and cloud systems that solve complex problems in healthcare such as medical image processing, patient data analysis, and drug discovery. This team will work closely with our AI Research team for advanced topics and model development.

Responsibilities:

Lead and manage a team of AI developers to design, develop and implement generative AI models and cloud systems for healthcare applications.
Collaborate with healthcare professionals and cross-functional teams to identify business needs and develop solutions that leverage generative AI to improve patient outcomes.
Work closely with our AI research team on cutting-edge research in generative AI for healthcare, including GANs, VAEs, and other generative models.
Develop strategies for training, testing, and evaluating generative AI models for healthcare applications, including techniques such as transfer learning, reinforcement learning, and adversarial training.
Optimize models for performance, scalability, and maintainability for healthcare applications.

Qualifications:

PhD in Computer Science, Machine Learning, or a related field
Minimum of 10 years of experience in AI research and development
Experience leading and managing a team developing AI SaaS services
Strong understanding of machine learning concepts, including deep learning, reinforcement learning, and generative models for healthcare applications
Strong communication and collaboration skills with healthcare professionals

If you meet the qualifications and have a passion for pushing the boundaries of generative AI in healthcare, we encourage you to apply for this exciting opportunity.