AI Machine Learning Engineer

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Work Shift

Day

Work Day(s)

Friday, Monday, Thursday, Tuesday, Wednesday

Shift Start Time

8:00 AM

Shift End Time

5:00 PM

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

• Must be local and able to work hybrid
• Must be US Citizen or Green Card Holder
• 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 to