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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
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.
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
Job Family
Skills Required
- At least 2 years of experience in machine learning engineering, data science, or data engineering
- At least 1 year of experience implementing machine learning algorithms in production or applying software development lifecycle principles to analytics
- Bachelor's degree in Information Systems, Data Science, Machine Learning, Computer Science, Industrial Engineering, or Analytics
- Master's degree in a relevant field, or four years of industry experience in lieu of a master's degree
- Experience developing software and data infrastructure for predictive model validation and operationalization
- Experience with machine learning libraries and frameworks including scikit-learn, H2O, TensorFlow, PyTorch, or DataRobot
- Experience working with healthcare data in a HIPAA-regulated environment
- Epic certification or badges in Cogito, Cognitive Computing Platform, Chronicles, and Interconnect
- Azure certification in Data Fundamentals, AI Fundamentals, Data Science, or Data Engineering
- Familiarity with electronic health records, ERP systems, cloud computing, machine learning tools, and open-source large language models
- Knowledge of machine learning concepts, data modeling, software development methodologies, APIs, and production-grade coding
- Ability to build maintainable machine learning pipelines using packaging, unit testing, data validation, containerization, automation, and CI/CD
- Ability to communicate technical requirements, collaborate with stakeholders, work in agile frameworks, and use source control tools
Children's Healthcare Of Atlanta Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Children's Healthcare Of Atlanta and has not been reviewed or approved by Children's Healthcare Of Atlanta.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with on‑site or near‑site primary care, a 24/7 nurse line, Teladoc, and counseling resources. Wellness services such as fitness centers, classes, and biometric screenings reinforce access to care and preventive support.
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Parental & Family Support — Near‑site child care, a child‑care credit, adoption and fertility assistance, and paid parental and other leaves indicate strong family‑oriented support. Everyday convenience perks like a free concierge service further ease caregiving and life logistics.
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Retirement Support — A dual‑plan setup with a 403(b) savings plan and a separate employer‑funded 401(a) growth plan signals meaningful long‑term financial support. Financial‑wellness resources are also highlighted.
Children's Healthcare Of Atlanta Insights
What We Do
For more than 100 years, Children’s Healthcare of Atlanta has depended on clinical and nonclinical employees to help make kids better today and healthier tomorrow. Consistently ranked as one of the leading pediatric healthcare systems in the country by U.S. News & World Report, Children’s is the only freestanding pediatric healthcare system in Georgia and one of the largest pediatric clinical care providers in the country. We’re also one of Atlanta’s leading employers and have been recognized as one of the nation’s top places to work. Our System includes: • 789 licensed beds • Three hospitals • Urgent Care Centers • Marcus Autism Center • Center for Advanced Pediatrics • Support Center for nonclinical staff • More than 14,000 employees, including more than 4,400 nurses and 2,300 physicians representing more than 60 pediatric specialties and programs Why Children’s? Here are some of the reasons new graduates and experienced clinicians alike choose Children’s. • We manage more than 1.1 million patient visits and 44,400 surgical procedures annually. • We are home to the only Level 1 and one of the only Level 2 pediatric trauma centers in Georgia. • We take a team approach to care. Our clinicians collaborate with social workers, chaplains, music therapists, therapy dogs and many others to help ensure kids receive comprehensive care.
