Machine Learning Engineer WFH

Description

Introduction

Do you have the career opportunities as a(an) Machine Learning Engineer WFH you want with your current employer? We have an exciting opportunity for you to join Work from Home which is part of the nation's leading provider of healthcare services, HCA Healthcare.

Benefits

Work from Home, 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.

Our teams are a committed, caring group of colleagues. Do you want to work as a(an) Machine Learning Engineer WFH where your passion for creating positive patient interactions are valued? If you are dedicated to caring for the well-being of others, this could be your next opportunity. We want your knowledge and expertise!

Job Summary

We are seeking a highly motivated Entry Level Machine Learning Engineer to join our team. In this role, you will work closely with our team of experienced data scientists to design, develop, and deploy machine learning models. You will also be responsible for implementing data pipelines and ensuring that the models are optimized for production.

Job Duties Include But Not Limited To

• Developing predictive models on large-scale datasets to address various business problems through demonstrating advanced statistical modeling, machine learning, or data mining techniques. Using combinations of Python, Azure, BigQuery, Cosmos, Openshift and Vertext AI
• Working with data scientists to improve existing models and develop new ones
• Building and maintaining data pipelines that are optimized for machine learning applications
• Transforming data science prototypes and apply appropriate ML algorithms and tools.
• Collaborate with cross-functional teams to ensure successful implementation and deployment of machine learning mod
• Continuously monitor and evaluate the performance of machine learning models in production
• Stay up-to-date with the latest advancements in machine learning and related technologies
• As needed, document topology, processes, and solution architecture.
• Assist with the training and enablement of end users, including data scientists, program managers, and data consumers.
• Utilize benchmarks, metrics, and monitoring to measure and improve services.
• Assists with other duties as assigned

Education

• Bachelor's degree in Computer Science, Mathematics, Statistics or a related field preferred
• Will consider work experience in lieu of of Degree or Bachelors Degree

Experience

• Strong programming skills in Python
• Familiarity with Azure, Big query, Cosmos, Openshift, Vertext AI
• Understanding of machine learning algorithms and concepts
• Excellent problem-solving and analytical skills
• Ability to work independently as well as in a team environment
• Strong communication and interpersonal skills

This is an entry-level position and we welcome applicants with limited experience. We offer a competitive salary, comprehensive benefits package, and opportunities for career growth within the company. If you are passionate about machine learning and want to work with a team of talented professionals, we encourage you to apply.

Parallon provides full-service revenue cycle management, or total patient account resolution, for HCA Healthcare. Our services include scheduling, registration, insurance verification, hospital billing, revenue integrity, collections, payment compliance, credentialing, health information management, customer service, payroll and physician billing. We also provide full-service revenue cycle management as well as targeted solutions, such as Medicaid Eligibility, for external clients across the country. Parallon has over 17,000 colleagues, and serves close to 1,000 hospitals and 3,000 physician practices, all making an impact on patients, providers and their communities.

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.

Bricks and mortar do not make a hospital. People do.- Dr. Thomas Frist, Sr.

HCA Healthcare Co-Founder

If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply for our Machine Learning Engineer WFH opening. We promptly review all applications. Highly qualified candidates will be contacted for interviews. Unlock the possibilities and apply today!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.