Job Description 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 standards Required Skills: Strong experience in AI/ML and NLP (embeddings, transformers) Hands-on with LLMs, RAG, and vector databases Proficiency in Python and data frameworks (Spark/Databricks) Experience with cloud platforms (Azure/AWS/GCP) Knowledge of distributed systems and high-throughput pipelines Understanding of healthcare data and PHI compliance
This is a remote position.
Show more Numbers & Facts Location Boise, ID (Remote Job Type Full-time
Skills
Amazon Web Services (AWS)unmatched
Apache Sparkunmatched
Artificial Intelligence (AI)unmatched
Benchmarkingunmatched
Clinical Dataunmatched
Cloud Computingunmatched
Data Setsunmatched
Distributed Computingunmatched
Enterprise Protectionunmatched
GCP (Good Clinical Practices)unmatched
HIPAA (Health Insurance Portability and Accountability Act)unmatched
Healthcareunmatched
High Throughputunmatched
Maintain Complianceunmatched
Medical Recordsunmatched
Microsoft Windows Azureunmatched
Natural Language Processing (NLP)unmatched
Performance Analysisunmatched
Performance Metricsunmatched
Python Programming/Scripting Languageunmatched
Scalable System Developmentunmatched
Search Engine Optimization (SEO)unmatched
Semantic Searchunmatched
Shallow Parsingunmatched
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