Children's Healthcare of Atlanta · 1 day ago
AI Machine Learning Engineer
Brookhaven, GA
Full-time
Onsite
Entry, Mid Level
2+ years expChildren's Healthcare of Atlanta is one of the nation’s leading children’s hospitals, committed to making kids better today and healthier tomorrow. The AI Machine Learning Engineer will bridge the gap between data science and implementation, supporting the development, deployment, and maintenance of production-grade applications leveraging Machine Learning and Artificial Intelligence.
ChildrenHealth CareNon Profit
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
Qualification
Required
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
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
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)
Preferred
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
Company
Children's Healthcare of Atlanta
Children’s Healthcare of Atlanta is a non-profit private foundation that focuses on healthcare for children.
10001+ employees
H1B Sponsorship
Children's Healthcare of Atlanta has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (4)
2023 (5)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$5.12MKey Investors
Hyundai Hope On Wheels
2025-12-03Series Unknown· $0.37M
2023-08-25Grant· $0.12M
2022-09-27Grant· $0.3M
Leadership Team
Frank Grogan
Endpoint Engineering Team Lead - Mobility
M
Michele Silagy
Director Of Recruiting
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