Machine Learning Engineer

We're building enterprise-scale semantic search and product intelligence platforms, and we're looking for someone who can help shape entity resolution, product matching, semantic retrieval, and multimodal AI solutions within modern cloud data ecosystems. What You'll Do: Develop product matching and entity resolution solutions using ML and data engineering Implement semantic search, vector embeddings, and fuzzy matching techniques Contribute to Retrieval-Augmented Generation (RAG) workflows for product enrichment Build and optimize data pipelines/ML workflows across Snowflake, Databricks, AWS, Azure, or GCP Collaborate closely with product teams and domain experts to deliver AI-driven solutions What We're Looking For: Strong programming skills in Python and SQL Hands-on experience with embeddings, vector search, and semantic retrieval Experience working with cloud-native data platforms Knowledge of fuzzy matching algorithms (Levenshtein, Jaro-Winkler, Soundex, etc.) Solid understanding of LLMs, Generative AI, and RAG