Classification: FTE
Contract Length: Indefinite
Address: Nashville, TN
Job ID: 16528101
 
CereCore® provides EHR implementations, IT and application support, IT managed services, technical staffing, strategic IT consulting, and advisory services to hospitals and health systems nationwide. Our heritage is in the hallways of some of America’s top-performing hospitals. We have served as leaders in finance, operations, technology, and as clinicians turned power users and innovators. At CereCore, we know firsthand the power that aligned technology can provide in delivering care. As a wholly-owned subsidiary of HCA Healthcare, we are committed to bringing the expertise we have gained as operators to deliver IT services that emphatically address the needs of health systems across the United States. Our team of over 600 clinical and technical professionals has implemented EHR systems in more than 400 facilities and provides managed services support to tens of thousands of health system employees. We work tirelessly to provide healthcare organizations specialized IT services that support the delivery of patient care. The Link to Life-Saving Care.

Position Summary
We are seeking a highly motivated Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will play a crucial role in leveraging data to drive strategic initiatives, improve patient outcomes, enhance operational efficiency and advance healthcare innovation. In this role, you will be responsible for utilizing advanced analytics and machine learning to develop data pipelines and solutions that will provide data-driven insights to drive strategic decisions. This includes development of predictive analytics models using various machine learning techniques and analyzing large datasets to uncover patterns, trends, and insights to inform decisions.

In addition, you will work with stakeholders to define data requirements and develop data strategies. Develop an understanding of the healthcare industry and the challenges facing HCA Healthcare. Collaborate with cross-functional teams to ensure successful implementation of advanced analytics solutions. Communicate results and recommend solutions to stakeholders in a clear and concise manner. Keep up-to-date with the latest developments in machine learning and data science. Troubleshoot problems and identify potential solutions.

The Machine Learning Engineer role requires 'self-starters' who are proficient in problem solving and capable of bringing clarity to complex situations.  It requires contributing to strategic technical direction and support for ReBA Product Development’s Machine Learning capabilities. It also requires working closely with others, frequently in a matrixed environment, and with little supervision. This candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision.


Responsibilities 

• 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, Vertex AI, AutoML, Vertex AI Notebooks, Document AI, BigQuery ML
• Developing predictive analytics models using various machine learning techniques
• Evaluating the performance of predictive models and algorithms using appropriate metrics and validation techniques, and iterate on model improvements
• Building and maintaining data pipelines that are optimized for machine learning applications
• Providing guidance on technology choices and design considerations for AI/ML programs
• Collaborating with business analysts, project lead, management, and customers on requirements
• Assisting with the training and enablement of end users, including data scientists, program managers, and data consumers
• Sharing knowledge and experience to contribute to growth of overall team capabilities
• Designing fit-for-purpose products to ensure products align to the customer's strategic plans and technology road maps
• Actively participate in technical group discussions and adopt any new technologies to improve the development and operations.
• Assisting team members with production issues and offer support, guidance, and assist in communicating issues with appropriate stakeholders when necessary

Requirements

• Minimum of a bachelor’s degree
• 5+ years of experience working with ML
• Proficiency with Python and data science libraries (Pandas, NumPy, SciPy, Scikit-Learn, etc.)
• Experience producing meaningful visualizations/dashboards/presentations to business stakeholders
• Experience solving "full stack" machine learning problems, from data collection to model training to deployment, and experience using machine learning.
• Understanding and exposure to the different levels of the data science cycle (definition, collection, preparation, extraction, analysis, modeling, and deployment)
• Experience with Object Oriented Programming (OOP) concepts & scalable software design principles
• Experience working with SQL/MySQL
• Experience working with GCP AI and ML Products such as: Vertex AI, AutoML, Vertex AI Notebooks, Document AI, BigQuery ML
• Ability to multitask and to balance competing priorities.
• Strong verbal, written, and interpersonal skills, including a desire to work within a highly-matrixed, team-oriented environment.
• A successful candidate may have:
  • Experience in Healthcare Domain
  • Experience in Patient Data

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.