Please read before applying:

This role requires current and continuing U.S. work authorization without employer immigration sponsorship or employer immigration support. For this role, the organization is not able to provide H-1B sponsorship, visa transfer support, cap-gap support, STEM OPT training plan support, Form I-983 support, or other immigration-related employer support.

*Healthcare Experience Highly Preferred*

If you're an Artificial Intelligence or Machine Learning Engineer with a penchant for building GenAI applications, this is a great opening. You'll ship LLM-powered apps on Snowflake, Streamlit and React for Healthcare Quality & Safety at Lurie Children's — multi-LLM, RAG, evals, and clinician-ready UX. We want a can-do builder, fast learner, and strong designer with strong Python, SQL, and Snowflake skills.

Essential Job Functions:

• Collaborate with stakeholders to identify healthcare challenges and opportunities where Artificial Intelligence or Machine Learning Engineer can make a significant impact.
• Develop and implement Artificial Intelligence or Machine Learning Engineer algorithms and models using existing Epic-built and in-house developed technologies.
• Extract, transform, and preprocess healthcare data to build robust and accurate Artificial Intelligence or Machine Learning Engineer models.
• Collaborate with data scientists and clinicians to validate and optimize Artificial Intelligence or Machine Learning Engineer models based on real-world healthcare data.
• Ensure compliance with regulatory requirements and privacy standards related to healthcare data and Artificial Intelligence or Machine Learning Engineer algorithms.
• Stay up to date with the latest advancements in Artificial Intelligence or Machine Learning Engineer technologies and healthcare domain knowledge to drive innovation and continuous improvement.
• Other duties as assigned.

Knowledge, SKILLS, and Abilities:

• Bachelors in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field. Master’s degree preferred.
• •3+ years background in machine learning, deep learning, and statistical modeling.
• Proficiency in programming languages and frameworks commonly used in Artificial Intelligence or Machine Learning Engineer.
• Experience in handling and analyzing healthcare data, including electronic health records (EHR), medical imaging, or genomic data.
• Experience working with data science teams in refining and optimizing data science and machine learning models and algorithms.
• Knowledge of healthcare regulations and privacy standards, such as HIPAA and GDPR.
• Exposure to hybrid deployments: Cloud and On-Premises.
• Strong problem-solving and analytical skills.
• Effective communication and collaboration abilities to work with cross-functional teams.