AI/ML Machine Learning Engineer
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Before you apply
LocationChildren's Healthcare of Atlanta Support Center
Work modeon-site
Typefull-time
SeniorityMid
Experience2+ yrs
DepartmentBusiness Intelligence
Company size10,000+ people
PostedNov 1, 2026 · 4d ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
2 years of experience in a Machine Learning Engineering, Data Science or Data Engineering role
1 year of experience in implementing machine learning algorithms in a production environment or applying software development lifecycle principles to analytics
Bachelor's degree in Information Systems, Data Science, Machine Learning, Computer Science, Industrial Engineering, or Analytics
Familiarity with electronic health records (e.g., Epic, Cerner), ERP (e.g., Workday), or other business systems used at Children's
Familiarity with cloud computing (Azure, AWS, Google Cloud) with focus on machine learning and data science tools (Databricks, Snowflake, Azure ML)
Familiarity with leveraging open-source foundation large language models to build custom domain-specific applications
Working knowledge of machine learning concepts such as feature engineering, hyperparameter tuning, bias and variance tradeoff, model and data drift, and common metrics to evaluate model performance
Knowledge of data structure and data modelling principles and ability to efficiently ingest and process large datasets using Python, SQL, PySpark, and Scala
Knowledge of software development methodologies and architecture including API web services
Skilled at writing robust, production-grade code for application in predictive analytics (e.g., Python, R, Java, Scala)
Ability to reduce complexity and apply coding standards and best practices to data and machine learning pipelines, including code packaging, unit testing, data validation, containerization, automation, and CI/CD
Ability to create effective technical documentation and communicate requirements to business partners and vendors
Ability to work and provide coaching in agile, iterative frameworks, as well as develop in shared coding environments and collaborate with other developers using source control tools (i.e. Git)
Master's degree in Information Systems, Data Science, Machine Learning, Computer Science, Industrial Engineering, or Analytics or four years of industry experience in lieu of Master's degree
Experience developing software and data infrastructure to support the validation and operationalization of predictive models
Experience with model training and inference in common machine learning libraries and frameworks (scikit-learn, H2O, Tensorflow, PyTorch, Datarobot)
Experience working with healthcare data (payer or provider) in a HIPAA regulated environment
Epic certification or badges in Cogito, Cognitive Computing Platform, Chronicles and Interconnect
Azure Certifications in Data Fundamentals, AI Fundamentals, Data Science or Data Engineering
No professional certifications required
Children's Healthcare of Atlanta is an equal opportunity employer committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, sex, religion, national origin, citizenship, age, veteran status, disability or any other characteristic covered by applicable law
Skills
scikit-learn
H2O
Tensorflow
PyTorch
Datarobot
Python
R
Java
Scala
SQL
PySpark
Azure
AWS
Google Cloud
Databricks
Snowflake
Azure ML
Git
Workday
Epic
Cerner
Hiring process
Note: If you are CURRENTLY employed at Children’s and/or have an active badge or network access, STOP here. Submit your application via Workday using the Career App (Find Jobs).
Work Shift
Day
Work Day(s)
Shift Start Time
Shift End Time
Worker Sub-Type
Regular
About the company
Children’s is one of the nation’s leading children’s hospitals. No matter the role, every member of our team is an essential part of our mission to make kids better today and healthier tomorrow. We’re committed to putting you first, and that commitment is at the heart of our company culture: People first. Children always. Find your next career opportunity and make a difference doing what you love at Children’s.
Job Description
The AI Machine Learning Engineer bridges the gap between data science and implementation. They support data scientists and clinical informaticists in the development, deployment and maintenance of production-grade applications that leverage Machine Learning (ML) and Artificial Intelligence (AI). They partner with clinicians, subject matter experts, analytics developers, researchers, and data engineers to ensure that the delivered solutions provide actionable real-time insights that are in line with the system’s clinical, financial and operational goals. They work closely with analytics leaders and business partners to bring the latest advances in ML and AI systems and processes to advance Children’s overall analytics.
Experience
•
2 years of experience in a Machine Learning Engineering, Data Science or Data Engineering role
•
1 year of experience in implementing machine learning algorithms in a production environment or applying software development lifecycle principles to analytics
Preferred Qualifications
•
Experience developing software and data infrastructure to support the validation and operationalization of predictive models, including tools to support analysis, model. optimization, drift detection, model versioning, deployment and monitoring of model performance and features.
•
Experience with model training and inference in common machine learning libraries and frameworks (scikit-learn, H2O, Tensorflow, PyTorch, Datarobot).
•
Experience working with healthcare data (payer or provider) in a HIPAA regulated environment.
•
Epic certification or badges in Cogito, Cognitive Computing Platform, Chronicles and Interconnect.
•
Azure Certifications in Data Fundamentals, AI Fundamentals, Data Science or Data Engineering
Education
•
Bachelor’s degree in Information Systems, Data Science, Machine Learning, Computer Science, Industrial Engineering, or Analytics.
•
Master’s degree in Information Systems, Data Science, Machine Learning, Computer Science, Industrial Engineering, or Analytics or four years of industry experience in lieu of Master’s degree
Certification Summary
•
No professional certifications required.
Knowledge, Skills and Abilities
•
Familiarity with electronic health records (e.g., Epic, Cerner), ERP (e.g., Workday), or other business systems used at Children’s.
•
Familiarity with cloud computing (Azure, AWS, Google Cloud) with focus on machine learning and data science tools (Databricks, Snowflake, Azure ML).
•
Familiarity with leveraging open-source foundation large language models to build custom domain-specific applications.
•
Working knowledge of machine learning concepts such as feature engineering, hyperparameter tuning, bias and variance tradeoff, model and data drift, and common metrics to evaluate model performance.
•
Knowledge of data structure and data modelling principles and ability to efficiently ingest and process large datasets using Python, SQL, PySpark, and Scala.
•
Knowledge of software development methodologies and architecture including API web services.
•
Skilled at writing robust, production-grade code for application in predictive analytics (e.g.,Python, R, Java, Scala).
•
Ability to reduce complexity and apply coding standards and best practices to data and machine learning pipelines, including code packaging, unit testing, data validation, containerization, automation, and CI/CD.
•
Ability to create effective technical documentation and communicate requirements to business partners and vendors.
•
Ability to work and provide coaching in agile, iterative frameworks, as well as develop in shared coding environments and collaborate with other developers using source control tools (i.e. Git).
Job Responsibilities
•
Works closely with data scientists, data engineers and software engineers to develop and optimize reproducible and reusable pipelines for model training, validation, and inference.
•
Monitors and troubleshoots AI and ML systems to ensure high availability, performance and reliability.
•
Partners with subject matter experts and other non-technical stakeholders to understand their needs and effectively capture clinical and business system workflows when designing AI solutions.
•
Develops and improves Children’s model development lifecycle by defining technical standards while reducing unnecessary complexity.
•
Leads code reviews and debugging sessions as well as mentors and develops data scientists and analytics developers to improve code quality.
•
Follows technical guidelines and best practices for project management, source control, documentation, and responsible and ethical AI.
•
Collaborates with enterprise architects, analytics platform services and other technical leaders to create and maintain an up-to-date machine learning architecture roadmap.
•
Partners with researchers on translational projects that are aligned with quality and operational goals, ensuring appropriate technical standards and regulatory compliance are followed.
•
Contributes to organizational knowledge by participating in internal knowledge shares and seminars, research conferences, and online learning.
Legal
Children’s Healthcare of Atlanta is an equal opportunity employer committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, sex, religion, national origin, citizenship, age, veteran status, disability or any other characteristic covered by applicable law.
Primary Location Address
1575 Northeast Expy NE
Job Family
Business Intelligence