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Consulting Machine Learning Engineer

HCA Healthcare Nashville, TN

Live

Full-time Posted 6 days ago 5 min read

*Description* Introduction

Experience the HCA Healthcare difference where colleagues are trusted, valued members of our healthcare team. Grow your career with an organization committed to delivering respectful, compassionate care, and where the unique and intrinsic worth of each individual is recognized. Submit your application for the opportunity below: Consulting Machine Learning Engineer HCA Healthcare

Benefits HCA Healthcare, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:

Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.
Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.
Free counseling services and resources for emotional, physical and financial wellbeing
401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service)
Employee Stock Purchase Plan with 10% off HCA Healthcare stock
Family support through fertility and family building benefits with Progyny and adoption assistance.
Referral services for child, elder and pet care, home and auto repair, event planning and more
Consumer discounts through Abenity and Consumer Discounts
Retirement readiness, rollover assistance services and preferred banking partnerships
Education assistance (tuition, student loan, certification support, dependent scholarships)
Colleague recognition program
Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence)
Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.

Learn More About Employee Benefits

Note: Eligibility for benefits may vary by location. We are seeking a Consulting Machine Learning Engineer for our team to ensure that we continue to provide all patients with high quality, efficient care. Did you get into our industry for these reasons? We are an amazing team that works hard to support each other and are seeking a phenomenal addition like you who feels patient care is as meaningful as we do. We want you to apply!

Job Summary And Qualifications The Consulting Machine Learning Engineer is responsible for developing and integrating machine learning model and pre trained API with Parallon Data Engineering department large-scale data ecosystems and business usecase, including data management and the integration of structured and unstructured data to generate insights to help Parallon unlock the value of enterprise technology and data platform investments.

The Parallon Data Engineering department serves multiple business units in the organization: From the coding and clinical data perspective and also from the Revenue Cycle side. The Consulting Machine Learning engineer requires strong knowledge regarding cloud and data/ML platforms, to identify the best practical applicable solutions to resolve the business needs. Considering multiple variables during proof of concept, including cost, long term functionality, company policies and procedures, organization vision and road maps for incoming technologies.

The Consulting Machine Learning engineer will report to the Manager of Data Engineering and will work closely with the data scientist, data engineer and collaborate with strong communication skills, and team work mentality.

This role is firmly customer facing, with an expectation of constant contact, communication and iteration with both clinical and business customers to define questions, explore solutions and present results.

*MAJOR RESPONSIBILITIES* Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling , nature language understanding.

Design and develop NLP applications on Google cloud and data platform leveraging Vertex AI , LLM and Doc AI

Study and transform data science prototypes

Design and develop NLP applications on Google cloud and data platform leveraging Vertex AI , LLM and Doc AI

Select appropriate annotated datasets for Supervised Learning methods

Use effective text representations to transform natural language into useful features

Find and implement the right algorithms and tools for NLP tasks

Integrate with data platform and source thru API integration.

Train the developed model and run evaluation experiments

Perform statistical analysis of results and refine models

Extend ML libraries and frameworks to apply in NLP tasks

Remain updated in the rapidly changing field of machine learning

Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms

Knowledge and expertise of Python and SQL

Experience with machine learning frameworks and API

What qualifications you will need:

*EXPERIENCE* 7 or more years of experience in developing and integrating machine learning models and pre trained API in Cloud platforms

7 or more years of experience as a Data Engineer or NLP ML Engineer or similar role - Preferred

HCA Healthcare has been recognized as one of the World's Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses.

"There is so much good to do in the world and so many different ways to do it."- Dr. Thomas Frist, Sr.

HCA Healthcare Co-Founder

If you find this opportunity compelling, we encourage you to apply for our Consulting Machine Learning Engineer opening. We promptly review all applications. Highly qualified candidates will be directly contacted by a member of our team. We are interviewing apply today! We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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