Senior AI/ML Engineer

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