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AvailityAV

Machine Learning Engineer

Availity is the largest healthcare information network in the U.S., enhancing communication and collaboration between health plans and providers.

Availity

Employee count: 1001-5000

Salary: 109k-135k USD

United States only

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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.

Availity LLC – Jacksonville, FL

Title: Machine Learning Engineer

Duties: 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.

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.

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

Interested candidates should apply online at https://availity.wd1.myworkdayjobs.com/Availity_Careers_US or send resume to recruiting@availity.com and reference job code 034. Contact Rachel Clark at Rachel.clark@availity.com if you have questions or need information about this application.

Video Camera Usage:

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.

Disclaimers:

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, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances.

Availity is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

NOTICE: Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. When required by state law or federal regulation, Availity uses I-9, Employment Eligibility Verification in conjunction with E-Verify to determine employment eligibility. Learn more about E-Verify at http://www.dhs.gov/e-verify.

Click the links below to view Federal Employment Notices.

Family & Medical Leave ActEqual Employment Law PosterPay TransparencyEmployee Polygraph Protection ActIER Right to Work PosterImportant Notice about Employee Rights to Organize and Bargain Collectively with Their Employers

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 109k-135k USD

Education

Postgraduate degree

Experience

3 years minimum

Location requirements

Hiring timezones

United States +/- 0 hours

About Availity

Learn more about Availity and their company culture.

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What began over 20 years ago has transformed into Availity, the largest health information network in the United States. At the intersection of providers and payers, Availity has built a robust platform that streamlines communication, enhances collaboration, and accelerates financial transactions — all centered on patient care. Over the years, Availity has evolved significantly, expanding from a fledgling startup into a formidable force in healthcare technology, facilitating over 13 billion administrative, clinical, and financial transactions annually.

Throughout its journey, Availity has become a trusted partner for two million healthcare providers and numerous health plans, fostering an environment of shared information that minimizes waste and maximizes efficiency. By leveraging AI responsibly, Availity introduces innovative solutions for prior authorizations, eligibility checks, and revenue cycle management, thus redefining traditional healthcare workflows. As Availity continues to lead in healthcare innovation, it remains committed to simplifying the business of healthcare and navigating the complex landscape that impacts both caregivers and patients.

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