Grady Health System
Join to apply for the
AI ML Engineer
role at
Grady Health System .
Job Description The Artificial Intelligence (AI) Machine Learning (ML) Engineer is responsible for designing, developing, and implementing artificial intelligence and machine learning 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. The AI/ML developer is generally focused on integrating and implementing AI/ML algorithms and logic into the deliverables of an IT project.
Responsibilities
Collaborates with various stakeholders to understand, meet, and answer business challenges using AI/ML software
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 its quality and relevance for training and inference
Selects appropriate machine learning techniques and models based on the problem at hand, such as supervised learning, unsupervised learning, or reinforcement learning
Trains and fine-tunes models using various algorithms and frameworks, such as TensorFlow and PyTorch
Optimizes models for performance, scalability, and accuracy, considering factors like computational resources and memory constraints
Collaborates with software engineers to integrate AI/ML models into existing systems or develop new applications
Stays updated with the latest advancements in AI/ML technologies and contributes to the adoption of best practices within the team
Knowledge and ability to deploy, manage and optimize machine learning models in production environments in AWS and Azure
Ability to trigger 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 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
Preferred
Master's degree in data science, computer science, management information systems, statistics, or related field
AWS & Azure
Epic Cogito, Cognitive Computing, & Nebula
Tableau
Agile Scrum
Two years of experience in the healthcare industry
Job Details
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. Get notified about new Machine Learning Engineer jobs in Atlanta, GA.
#J-18808-Ljbffr
AI ML Engineer
role at
Grady Health System .
Job Description The Artificial Intelligence (AI) Machine Learning (ML) Engineer is responsible for designing, developing, and implementing artificial intelligence and machine learning 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. The AI/ML developer is generally focused on integrating and implementing AI/ML algorithms and logic into the deliverables of an IT project.
Responsibilities
Collaborates with various stakeholders to understand, meet, and answer business challenges using AI/ML software
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 its quality and relevance for training and inference
Selects appropriate machine learning techniques and models based on the problem at hand, such as supervised learning, unsupervised learning, or reinforcement learning
Trains and fine-tunes models using various algorithms and frameworks, such as TensorFlow and PyTorch
Optimizes models for performance, scalability, and accuracy, considering factors like computational resources and memory constraints
Collaborates with software engineers to integrate AI/ML models into existing systems or develop new applications
Stays updated with the latest advancements in AI/ML technologies and contributes to the adoption of best practices within the team
Knowledge and ability to deploy, manage and optimize machine learning models in production environments in AWS and Azure
Ability to trigger 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 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
Preferred
Master's degree in data science, computer science, management information systems, statistics, or related field
AWS & Azure
Epic Cogito, Cognitive Computing, & Nebula
Tableau
Agile Scrum
Two years of experience in the healthcare industry
Job Details
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. Get notified about new Machine Learning Engineer jobs in Atlanta, GA.
#J-18808-Ljbffr