Healthcare ML Engineer - Enterprise AI, Hybrid

Consortia; Charlotte (NC); Hybrid; USD 170,000 - 225,000; Full time

Benefits offered by this job

Comprehensive healthcare

Retirement plans

Flexible work schedules

Ongoing professional development

Job summary

Consortia is seeking a Machine Learning Engineer in Charlotte, NC, offering a role that develops and deploys ML-driven healthcare solutions. You will design pipelines, prototype models, and collaborate across teams to deliver practical, scalable AI for healthcare workflows.

The position emphasizes robust code, scalable architectures, and delivering high-performance ML outputs in enterprise settings, with flexible work options including remote/hybrid.

Qualifications

• 3+ years of experience developing and deploying ML-driven products with robust outputs.
• Design, prototype and optimise ML architectures that integrate diverse data sources and models.

Responsibilities

• Design and optimise ML pipelines that handle millions of daily requests.
• Develop groundbreaking ML solutions beyond standard applications.
• Collaborate on end-to-end ML model development from research to deployment.
• Work with custom ML models to streamline administrative workflows in healthcare.

Skills

ML development

Model deployment

System architecture

Clean code

Job description

Consortia is seeking a Machine Learning Engineer in Charlotte, NC, offering a role that develops and deploys ML-driven healthcare solutions. You will design pipelines, prototype models, and collaborate across teams to deliver practical, scalable AI for healthcare workflows.

The position emphasizes robust code, scalable architectures, and delivering high-performance ML outputs in enterprise settings, with flexible work options including remote/hybrid.