Consulting Machine Learning Engineer

Description

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

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 Air Med 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 ()

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!

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.

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…