Position Details
About this role
Lead Machine Learning Engineer to design, develop, and deploy ML models and AI systems in a healthcare setting, leveraging cloud compute and data visualization to drive health outcomes.
Key Responsibilities
- Leads the design, development, and research around complex Machine Learning systems and models
- Identifies data distribution differences affecting model performance
- Analyzes large ML use cases and derives business insights via data visualization
- Maintains and supports ML software platforms; reviews and solves issues
- Communicates objectives and develops complex models with measurable metrics
Technical Overview
Role covers end-to-end ML development including data prep, model training, evaluation, deployment, and monitoring on cloud platforms, with emphasis on OpenCV and Linux environments and CI/CD pipelines.
Ideal Candidate
The ideal candidate is a lead ML engineer with 5+ years of experience, strong Python/R/SQL skills, and proven ability to deploy production ML models in cloud environments, capable of guiding end-to-end ML initiatives in healthcare.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Bachelor's degree in a quantitative or related field, 5-7 years of ML experience, Authorized to work in the U.S. without sponsorship
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