Position Details
About this role
This role involves leading the development of search, ranking, and relevance models to enhance patient-provider matching in a healthcare SaaS platform. The candidate will focus on ML model development, infrastructure, and deployment.
Key Responsibilities
- Develop ranking and relevance models
- Build ML infrastructure
- Lead experimentation and deployment
- Improve patient-provider matching
- Mentor ML team
Technical Overview
The technical scope includes machine learning model development, ranking algorithms, personalization systems, and ML infrastructure for deployment and monitoring, primarily using Python and related tools.
Ideal Candidate
The ideal candidate is a senior machine learning engineer with expertise in ranking and relevance systems, search, and personalization. They should have experience developing ML models, building infrastructure, and leading technical initiatives in healthcare or SaaS environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in ranking or relevance models, No background in ML infrastructure, No experience with search and personalization, Lack of leadership in ML projects
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