Experienced Machine Learning / NLP Engineer with strong expertise in entity resolution, record linkage, and large-scale text matching systems. Skilled in designing end-to-end ML pipelines using sentence-transformers, vector similarity search, and cross-encoder reranking models. Hands‑on experience with Azure ecosystem (AI Foundry, Databricks, Key Vault, Blob Storage) and scalable data engineering using Snowflake, PySpark, and Python. Adept at building production‑grade NLP solutions for classification, deduplication, and information extraction across large datasets.

Responsibilities

• Design and implement entity resolution, record linkage, and deduplication systems at scale.
• Build and optimize NLP pipelines using sentence-transformer models (e.g., all-mpnet-base-v2, all-MiniLM-L6-v2).
• Implement vector similarity search solutions using FAISS, Annoy, or ScaNN.
• Apply string similarity techniques such as Levenshtein, Jaro‑Winkler, TF‑IDF, ...