Healthcare AI Engineer – Onsite in Atlanta

Emory Healthcare

West Virginia

In loco

USD 130.000 - 170.000

Tempo pieno

3 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Health benefits
Loan assistance
Family benefits
Wellness incentives
Mentorship programs
Leadership programs

Descrizione del lavoro

Emory Healthcare in Atlanta is seeking an AI Engineer to design, develop, and support enterprise AI/ML solutions that advance clinical, operational, and administrative initiatives. You will collaborate with product managers, AI architects, and cross‑functional teams to deliver scalable, secure, and compliant AI systems.

You will mentor junior engineers, promote best practices, and drive responsible AI adoption across the organization, with onsite meetings bi-weekly as part of a dynamic,

Competenze

  • Bachelor’s degree in Computer Science, Computer Engineering, Data Science, AI or related field.
  • 2+ years in software engineering, data engineering, or AI in healthcare or life sciences.
  • 1+ years delivering ML/AI solutions in production.

Mansioni

  • Define AI requirements with product managers and stakeholders.
  • Develop, test, deploy, and optimize AI/ML solutions.
  • Mentor junior engineers and promote best practices.
  • Ensure HIPAA compliance and secure AI solutions.
  • Contribute to reusable templates and standards.

Conoscenze

ML/AI engineering
Prompt engineering
Cloud-based development
HIPAA knowledge
Team mentoring
Data analysis

Formazione

Bachelor’s degree in CS/related
Advanced degree preferred

Strumenti

Azure AI tools
Security tooling

Descrizione del lavoro

Emory Healthcare in Atlanta is seeking an AI Engineer to design, develop, and support enterprise AI/ML solutions that advance clinical, operational, and administrative initiatives. You will collaborate with product managers, AI architects, and cross‑functional teams to deliver scalable, secure, and compliant AI systems.

You will mentor junior engineers, promote best practices, and drive responsible AI adoption across the organization, with onsite meetings bi-weekly as part of a dynamic,

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