Machine Learning Engineer; Remote

Availity LLC – Jacksonville, FL

Availity delivers revenue cycle and related business solutions for health care professionals who want to build healthy, thriving organizations. Availity has the powerful tools, actionable insights and expansive network reach that medical businesses need to get an edge in an industry constantly redefined by change.

Machine Learning Engineer

The Machine Learning Engineer Availity LLC in Jacksonville, FL will support our goal of connecting providers, payers, and patients to the Internet of Healthcare. Use Natural Language Processing and Artificial Intelligence/Machine Learning toolkits to build solutions to improve this process and get patients the treatment they need sooner. Develop machine learning architectures to make Availity better at determining prior authorization through Machine Learning Operations practices.

Design experiments to test architectures; and deploy selected models as service endpoints. Monitor models in production; update models as needed to improve performance; and automate processes where possible. Understand and maintain data pipelines from raw sources to feature stores for models. Communicate within the team on project status and blockers to get help when needed and render aid when able.

Adhere to security and data protection policies when performing the above duties. Position is 100% remote. Salary: $108,638 - $135,000 per year.

• Master’s degree in Data Science, Data Analytics, Business Analytics and Information Systems or a directly related field, plus 3 years of experience as a data scientist, machine learning engineer or related occupation.
• Must have 2 years of experience with each of the following: (1) designing and deploying end-to-end regression and classification models on AWS Sage Maker; (2) Databricks using scikit-learn and PySpark ML, including techniques for handling highly imbalanced datasets; (3) Natural Language Processing; (4) Hugging‑Face with PyTorch to process unstructured text, generate dense embeddings for text‑understanding applications; (5) healthcare data standards, including EDI 835/837 and medical coding systems, including ICD‑10, CPT, HCPCS, and SNOMED‑CT, and secure handling of PHI and PII.
• Must also include 1 year of experience with each of the following: (1) developing and deploying RESTful web APIs for ML model inference using FastAPI, Flask, and Django frameworks; (2) Docker containerization to create reproducible and scalable environments for machine learning models and cloud native deployment using Amazon ECS and EKS; and (3) writing queries using PySpark on Databricks to retrieve and process semi‑structured data.

This notice is subject to Availity LLC's employee referral program.

Interested candidates should apply online at  or send resume to  and reference job code 034. Contact Rachel Clark at  if you have questions or need information about this application.

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Availity fosters a collaborative and open culture where communication and engagement are central to our success. As a remote first company, we are also camera‑first and provide all associates with camera/video capability to simulate the office environment. If you are not able to use your camera for all virtual meetings, you should not apply for this role. Having cameras on helps create a more connected, interactive, and productive environment, allowing teams to communicate more effectively and build stronger working relationships.

The usage of cameras also enhances security and protects sensitive company information. Video participation is required to ensure that only authorized personnel are present in meetings and to prevent unauthorized access, data breaches, preventing social engineering, or the sharing of confidential information with non‑participants.

Availity is an equal opportunity employer and makes decisions in employment matters without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, gender expression, genetic information, national origin, religion, marital status, medical condition, disability, military service,…