Senior AI/ML Engineer

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., 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

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