Information Technology - Machine Learning Engineer

CommunityCare • Tulsa, OK

3d • Hybrid

About The Position

CommunityCare HMO, Inc. seeks a Machine Learning Engineer to develop machine learning models for healthcare and payer applications, including but not limited to natural language processing, medical claims, recommendation systems, and predictive analytics. Collaborate across business lines to identify opportunities to include machine learning and artificial intelligence in our products, services, and applications. Gather and analyze large and regulated datasets to build and refine machine learning models. Solve complex problems with multilayered datasets. Track the latest developments in machine learning research and apply findings to real-world problems. Provide technical leadership and guidance on machine learning best practices. Communicate findings and results effectively to both technical and non-technical stakeholders.

Requirements

• Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
• 1 year of experience with developing software and data solutions utilizing advanced machine learning algorithms and libraries.
• 1 year of experience analyzing complex datasets to support data-driven decision-making.
• 1 year of experience implementing deep learning techniques and architectures to develop predictive models.
• 1 year of experience working across cross-functional teams to design and deliver scalable data solutions.
• 1 year of experience translating complex technical concepts for both technical and non-technical audiences.
• 1 year of experience designing data visualizations and dashboards.
• 1 year of experience developing and automating ETL workflows to optimize data integration, using SQL Server.
• 1 year of experience implementing end-to-end data and ML solutions in production environments, using Microsoft Azure, Power BI, PyTorch, Python, Scikit-learn, SQL, and TensorFlow.

Responsibilities

• Develop machine learning models for healthcare and payer applications, including natural language processing, medical claims, recommendation systems, and predictive analytics.
• Collaborate across business lines to identify opportunities to include machine learning and artificial intelligence in products, services, and applications.
• Gather and analyze large and regulated datasets to build and refine machine learning models.
• Solve complex problems with multilayered datasets.
• Track the latest developments in machine learning research and apply findings to real-world problems.
• Provide technical leadership and guidance on machine learning best practices.
• Communicate findings and results effectively to both technical and non-technical stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level