Grady Health System
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AI ML Engineer
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Grady Health System . Description - External Grady Health System offers many career paths for experienced professionals. Whether you have many years of experience or are in the early stages of your career, you can find a rewarding career at Grady! The Artificial Intelligence (AI) Machine Learning (ML) Engineer is responsible for designing, developing, and implementing AI/ML solutions to create intelligent and automated systems. This role works on various stages of the AI/ML development life cycle, from data preprocessing and model development to deployment and monitoring. Job Responsibilities
Collaborates with stakeholders to understand business challenges and deliver AI/ML solutions. Develops and implements machine learning models and algorithms to solve complex problems and extract insights from large datasets. Preprocesses, cleans, and transforms data to ensure quality and relevance for training and inference. Selects appropriate machine learning techniques and models based on the problem (supervised, unsupervised, reinforcement learning). Trains and fine-tunes models using frameworks such as TensorFlow and PyTorch. Optimizes models for performance, scalability, and accuracy. Integrates AI/ML models into existing systems or develops new applications. Stays updated with latest AI/ML technologies and adopts best practices within the team. Deploys, manages, and optimizes machine learning models in production environments on AWS and Azure. Triggers CI/CD pipelines after code reviews and approvals. Required
Bachelor’s degree in data science, computer science, management information systems, statistics, or related field. Three years of experience in software engineering, AI engineering, or similar field. 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. Ability to collaborate effectively across multiple teams and stakeholders. 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. Preferred
Master’s degree in data science, computer science, management information systems, statistics, or related field. Experience with AI/ML model deployment on AWS and Azure. Knowledge of CI/CD pipelines and automated model monitoring. Familiarity with Agile Scrum practices. Experience in the healthcare industry. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Hospitals and Health Care Referrals increase your chances of interviewing at Grady Health System by 2x. Location: Atlanta, GA. Annual Salary: $100,000.00-$150,000.00.
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AI ML Engineer
role at
Grady Health System . Description - External Grady Health System offers many career paths for experienced professionals. Whether you have many years of experience or are in the early stages of your career, you can find a rewarding career at Grady! The Artificial Intelligence (AI) Machine Learning (ML) Engineer is responsible for designing, developing, and implementing AI/ML solutions to create intelligent and automated systems. This role works on various stages of the AI/ML development life cycle, from data preprocessing and model development to deployment and monitoring. Job Responsibilities
Collaborates with stakeholders to understand business challenges and deliver AI/ML solutions. Develops and implements machine learning models and algorithms to solve complex problems and extract insights from large datasets. Preprocesses, cleans, and transforms data to ensure quality and relevance for training and inference. Selects appropriate machine learning techniques and models based on the problem (supervised, unsupervised, reinforcement learning). Trains and fine-tunes models using frameworks such as TensorFlow and PyTorch. Optimizes models for performance, scalability, and accuracy. Integrates AI/ML models into existing systems or develops new applications. Stays updated with latest AI/ML technologies and adopts best practices within the team. Deploys, manages, and optimizes machine learning models in production environments on AWS and Azure. Triggers CI/CD pipelines after code reviews and approvals. Required
Bachelor’s degree in data science, computer science, management information systems, statistics, or related field. Three years of experience in software engineering, AI engineering, or similar field. 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. Ability to collaborate effectively across multiple teams and stakeholders. 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. Preferred
Master’s degree in data science, computer science, management information systems, statistics, or related field. Experience with AI/ML model deployment on AWS and Azure. Knowledge of CI/CD pipelines and automated model monitoring. Familiarity with Agile Scrum practices. Experience in the healthcare industry. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Hospitals and Health Care Referrals increase your chances of interviewing at Grady Health System by 2x. Location: Atlanta, GA. Annual Salary: $100,000.00-$150,000.00.
#J-18808-Ljbffr