AI/ML Machine Learning Engineer
Children's Healthcare of Atlanta
About the role
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Worker Sub-Type
Regular
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.
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
Responsibilities
- Build and optimize reusable pipelines for model training, validation, and inference.
- Monitor and troubleshoot AI and ML systems for availability, performance, and reliability.
- Partner with clinicians and other stakeholders to understand workflows and design AI solutions.
- Define technical standards and improve the model development lifecycle.
- Lead code reviews and debugging, and mentor data scientists and analytics developers.
- Support responsible AI practices, documentation, and regulatory compliance.
- Collaborate on machine learning architecture planning and translational research projects.
Qualifications
- At least 2 years of experience in machine learning engineering, data science, or data engineering.
- At least 1 year implementing machine learning algorithms in production or applying software development lifecycle principles to analytics.
- Bachelor's degree in a related field; a master's degree or equivalent industry experience is also noted.
- Knowledge of machine learning concepts, model evaluation, feature engineering, and model or data drift.
- Experience with Python, SQL, and large-scale data processing; familiarity with R, Java, Scala, or PySpark.
- Familiarity with cloud platforms, machine learning frameworks, APIs, CI/CD, containerization, and source control.
- Preferred experience with healthcare data, model operationalization, and tools such as scikit-learn, TensorFlow, or PyTorch.
Skills mentioned
About Children's Healthcare of Atlanta
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: • 813 licensed beds • Three hospitals • Urgent Care Centers • Marcus Autism Center • Center for Advanced Pediatrics • Zalik Behavioral and Mental Health Center • Support Center for nonclinical staff • Nearly 15,000 employees, including more than 4,500 nurses and 1,200 pediatric 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 1.2 million patient visits and 46,000 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.
H-1B sponsorship history
Historical employer filing data was found for Children's Healthcare of Atlanta. The employer record includes 13 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.