Machine Learning Engineer, Data Science, Full Time, Days, Monday- Friday 8:30 am-5pm

Jackson Health•Miami, FL

85d•Hybrid

About The Position

The Machine Learning Engineer designs, develops, deploys, and supports production AI/ML solutions—including predictive machine learning models, generative AI, and intelligent applications—across Jackson Health System. As an independent technical contributor in the Data Science department, the role owns projects end-to-end and supports clinical, operational, financial, and administrative functions. The engineer partners with teammates and stakeholders to define, design, and implement solutions for business and clinical needs, exercising independent judgment with minimal supervision. The role applies advanced Python programming, cloud platforms, and modern AI engineering while ensuring responsible, secure, and compliant use of AI/ML technologies. It also promotes technical excellence through peer leadership, design reviews, and knowledge sharing.

Requirements

Generally 3 to 5 years of related experience.
At least 1 year of experience with Python, SQL, and Linux in support of AI/ML engineering and data analytics.
Experience with statistical analysis and data gathering.
Bachelor's degree in a related field.
Ability to analyze, organize, and prioritize work accurately while meeting multiple deadlines.
Ability to communicate effectively orally and in writing.
Ability to handle difficult and stressful situations with critical thinking and professional composure.
Ability to understand and follow instructions.
Ability to exercise sound and independent judgment.
Knowledge and skill in using job-appropriate technology and software applications.
Valid license or certification as required for the job or specialty.

Nice To Haves

Master's degree.
Experience with enterprise cloud data and AI platforms, such as Snowflake, and modern AI services.
Experience working with structured and unstructured healthcare data or in a clinical or hospital environment.

Responsibilities

Translate business, operational, and clinical needs into scalable AI/ML solutions through direct stakeholder engagement.
Build scalable data pipelines by integrating, cleansing, and transforming structured and unstructured healthcare and enterprise data, including EHR, claims, policies, operational data, imaging, and clinical notes.
Design and develop AI/ML-powered applications and intelligent software using techniques such as retrieval-augmented generation (RAG), large language models, agentic workflows, and semantic search.
Develop and maintain AI/ML solutions on enterprise cloud data and AI/ML platforms in accordance with organizational security and governance standards.
Design, evaluate, and optimize prompts, retrieval strategies, workflows, and evaluation frameworks to improve application quality, reliability, and safety.
Evaluate model performance, explainability, robustness, and operational reliability using Python and related tools.
Support production AI/ML services, automation pipelines, and operational incidents in accordance with established service-level expectations.
Maintain technical documentation and version control, such as Git, for AI/ML applications, models, workflows, code, and operational procedures.
Promote technical excellence through peer influence, code and architecture reviews, and knowledge sharing; act as a subject matter expert, cross-train peers on emerging techniques, and educate clinical and business stakeholders on AI/ML capabilities.
Perform other related duties as assigned.