Machine Learning Engineer, Data Science, Full Time, Days, Monday- Friday 8:30 am-5pmJackson Health System
Department: Data Science
Address: River Landing, 1611 NW 12th Ave, Miami, Florida, 33136
Shift details: Full-Time, Days, Hybrid
Job SummaryThe 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.
Duties and 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.
Required Qualifications:Experience- Generally requires 3 to 5 years of related experience. 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.
- 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.
Education- Bachelor's degree in related field is required.
- Master's degree is preferred.
Skill- Ability to analyze, organize and prioritize work accurately while meeting multiple deadlines.
- Ability to communicate effectively in both oral and written form.
- 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 use of job appropriate technology and software applications.
Credentials- Valid license or certification is required as needed, based on the job or specialty.
