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

Jackson Health•Miami, FL

3d•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 the enterprise. Serving as an independent technical contributor within the data science department of a large public health system, this role owns projects end-to-end, supporting clinical, operational, financial, and administrative functions. The Machine Learning Engineer partners with teammates and stakeholders to independently define, design, and implement AI/ML solutions addressing business and clinical needs. Exercising sound independent judgment with minimal supervision, this highly technical role utilizes advanced Python programming, cloud-based platforms, and modern AI engineering to drive intelligent software solutions while ensuring the responsible, secure, and compliant use of AI/ML technologies. This role also drives technical excellence through peer leadership, rigorous design reviews, and collaborative knowledge sharing among a highly experienced engineering team.

Requirements

At least 1 year of experience in Python, SQL, and Linux in support of AI/ML engineering and data analytics is required.
Experience with statistical analysis and data gathering is required.
Bachelor's degree in related field is required.

Nice To Haves

Experience with enterprise cloud data and AI platforms (e.g., Snowflake) and modern AI services is strongly preferred.
Experience working with structured and unstructured healthcare data or in a clinical/hospital environment is preferred.
Master's degree is preferred.

Responsibilities

Translates business, operational, and clinical needs into scalable AI/ML solutions through direct engagement with stakeholders.
Builds scalable data pipelines by integrating, cleansing, and transforming structured and unstructured healthcare and enterprise data sources (e.g., EHR, claims, policies, operational data, imaging, and clinical notes).
Designs and develops AI/ML-powered applications and intelligent software solutions using modern techniques such as retrieval-augmented generation (RAG), large language models, agentic workflows, semantic search, and other emerging AI capabilities where appropriate.
Develops and maintains AI/ML solutions on enterprise cloud data and AI/ML platforms following organizational security and governance standards.
Designs, evaluates, and optimizes prompts, retrieval strategies, workflows, and evaluation frameworks to improve AI/ML application quality, reliability, and safety.
Evaluates model performance, explainability, robustness, and operational reliability using Python and related tools.
Supports production AI/ML services, automation pipelines, and operational incidents in accordance with established service level expectations.
Maintains technical documentation and version control (e.g., Git) for AI/ML applications, models, workflows, code, and operational procedures.
Drives technical excellence across a team of advanced engineers through strong peer influence, rigorous code and architecture reviews, and knowledge sharing. Acts as a subject matter expert, cross-training peers on emerging techniques and educating clinical/business stakeholders on AI/ML capabilities.
Performs other related duties as assigned.