AI/ML Engineer

Unstructured Data Mining:Design robust web scraping and crawling pipelines (using tools like Playwright or Selenium) to harvest data from the open web. Convert messy, unstructured text into structured knowledge bases.

Agentic Workflow Design: Architect and build autonomous AI agents that can break down complex user goals into sub-tasks, execute tool calls (API requests, DB queries) using frameworks like LangGraph.

Base NLP Modeling (Supervised & Unsupervised): Build robust Supervised models for text classification, intent detection, and Named Entity Recognition (NER) where LLMs are overkill. Apply Unsupervised techniques (e.g., LDA for topic modeling, K-Means/DBSCAN for clustering) to discover patterns in unlabeled text corpora.

RAG (Retrieval-Augmented Generation): Build semanti...