Role: Senior AI/ML Engineer (Vector Store & Retrieval Systems)
Location: Remote
Duration:- Fulltime
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
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
Role: Senior AI/ML Engineer (Vector Store & Retrieval Systems) Location: Remote Duration:- Fulltime 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 buil...
Role: Senior AI/ML Engineer (Vector Store & Retrieval Systems)
Location: Remote
Duration:- Fulltime
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