Role: Senior AI/ML Engineer (Vector Store & Retrieval Systems)

Location: Remote
 
10+ years in AI/ML or Data Engineering (healthcare domain preferred) to design, benchmark, and optimize text embedding and vector search solutions for large-scale clinical data. This role focuses on building high-performance pipelines and evaluating AI models to support intelligent search across patient records.
 
Key Responsibilities:

• Develop and benchmark text chunking and embedding strategies


• Evaluate embedding models (OpenAI, Cohere, SBERT, etc.)


• Design and optimize vector search systems


• Build scalable pipelines for large datasets (up to billions of documents)


• Measure performance across cost, speed, scalability, and accuracy


• Support near real-time indexing and high query workloads


• Ensure compliance with PHI/HIPAA and enterprise security standa...