AI/ML Machine Learning Engineer

10 Children's Healthcare of Atlanta, Inc.; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Children's Healthcare of Atlanta is seeking an AI Machine Learning Engineer to bridge data science and production. They develop, deploy, and maintain production-grade ML/AI applications with clinicians, analytics developers, researchers, and data engineers to deliver real-time insights aligned with clinical and operational goals.

The role emphasizes reproducible pipelines, model governance, and scalable software practices across cloud platforms and ML libraries.

Qualifications

• Bachelor’s degree in Information Systems, Data Science, ML, CS, IE, or Analytics.
• Master’s degree preferred or four years of relevant industry experience.
• Experience implementing ML algorithms in production environments.
• Healthcare data experience and HIPAA familiarity preferred.

Responsibilities

• Develop and optimize reproducible pipelines for model training, validation, and inference.
• Monitor and troubleshoot AI/ML systems for high availability and reliability.
• Collaborate with clinicians, data scientists, and engineers to translate requirements into ML solutions.
• Lead code reviews and mentor junior engineers to improve code quality.
• Follow guidelines for documentation, project management, and responsible AI.
• Work with enterprise teams to maintain a modern ML architecture roadmap.
• Contribute to knowledge sharing and translational projects aligned with quality goals.

Skills

Python

SQL

Data modeling

CI/CD

Model deployment

Git

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

Tools

PySpark

Scala

TensorFlow

PyTorch

Databricks

Snowflake

Azure

AWS

Docker

Kubernetes

Epic

Cerner

Job description

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

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.

Equal Opportunity Statement

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

About Children’s Healthcare of Atlanta

Children's Healthcare of Atlanta has been 100 percent committed to kids for more than 100 years. A not-for-profit organization, Children's is dedicated to making kids better today and healthier tomorrow. With 3 hospitals, 20 neighborhood locations and a total of 673 beds, Children's is the largest healthcare provider for children in Georgia and one of the largest pediatric clinical care providers in the country. Children's offers access to more than 60 pediatric specialties and programs and is ranked among the top children's hospitals in the country by U.S. News & World Report. Children's has been recognized as a Fortune 100 Best Place to Work, a Best Place for Working Mothers, and as a top employer for diversity and millennials. We offer a comprehensive compensation and benefit package that supports our mission, vision and values. We are proud to offer an array of programs and services to our employees that have distinguished us as a best place to work in the country.