AI ML Engineer-Remote

What You’ll Do

• Partner with clinical, operational, and technical teams to identify opportunities for AI/ML solutions that address key healthcare challenges.
• Design, develop, and deploy machine learning models using frameworks like Tensor Flow and PyTorch.
• Clean, preprocess, and transform large healthcare datasets to ensure quality and relevance.
• Select and apply appropriate ML techniques (e.g., supervised, unsupervised, reinforcement learning) based on project needs.
• Optimize models for performance, scalability, and accuracy in real‑world healthcare environments.
• Collaborate with software engineers to integrate models into Grady’s systems and applications.
• Stay current with emerging AI/ML technologies and contribute to a culture of continuous learning and innovation.
• Deploy and manage models in AWS and Azure cloud environments.
• Support CI/CD pipelines and ensure robust model monitoring and governance.

• A Bachelor’s degree in data science, computer science, statistics, engineering, physical sciences, mathematics, or a closely related STEM field, or equivalent experience demonstrating applied expertise in machine learning or data‑driven systems development is required.
• A Master’s or doctoral degree in data science, computer science, statistics, engineering, mathematics, physical sciences, or related discipline, particularly with demonstrated research or professional experience in machine learning, artificial intelligence, or computational modeling is preferred.
• Three years of experience in software engineering, AI engineering, or similar field.
• Demonstrated expertise in machine learning, recommendation systems, pattern recognition, data mining, AI, or a related technical field; 3+ years of experience in software engineering, AI/ML development, or related technical roles.
• Two years of experience in the healthcare industry is preferred.

• Fluency in multiple programming languages and statistical analysis tools, such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS.
• Proficiency in machine learning algorithms such as multi‑class classifications, decision trees, support vector machines and deep learning.
• Strong understanding of probability and statistical models (generative and descriptive models).
• Ability to run experiments scientifically and analyze results.
• Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau.
• Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner.
• Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management, and operations.
• Ability to work independently and in a fully remote environment.
• Willingness and ability to stay up to date on new ML/AI technologies and their potential impact on the company.
• Willingness and ability to learn new technologies on the job.

• Strong ability to teach and communicate machine learning model methodologies and findings.

Why Grady? Grady Health System is more than a hospital—it’s a mission‑driven institution committed to serving the Atlanta community with compassion, innovation, and excellence. As part of our team, you’ll contribute to transformative projects that improve lives and advance the future of healthcare.

We offer competitive compensation, comprehensive benefits, and a collaborative culture that values diversity, equity, and inclusion.

Please note:

While this position is remote, we’re only able to hire candidates who reside in Georgia, Texas, Tennessee, North Carolina, Florida, South Carolina, Michigan, or Colorado.

Grady Health System is an Equal Opportunity Employer. Minorities/Females/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity are encouraged to apply.