Machine Learning Engineer (Remote)

Availity

4d • $108,638 - $135,000 • Remote

About The Position

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.

Requirements

• 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 SageMaker; (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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level