Build document extraction, parsing, and chunking pipelines for structured and unstructured data. Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows.
Numbers & Facts
Location
Woodland Hills, CA
Salary
$53–$57 Per Hour
Description
Pay Rate: $55 per hour Location: Woodland Hills, CA
Responsibilities:
Develop and deploy machine learning and Generative AI solutions using Python.
Design and optimize prompt engineering strategies for LLM-based applications.
Build document extraction, parsing, and chunking pipelines for structured and unstructured data.
Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows.
Implement embedding generation and vector search solutions.
Integrate ML models with Vector DBs and MongoDB.
Ensure code quality, scalability, and production readiness.
Requirements:
Expert-level proficiency in Python.
Strong experience in model training, evaluation, and tagging workflows.
Hands-on experience with document extraction and chunking techniques.
Solid understanding of ML algorithms and Generative AI concepts.
Experience working with Vector Databases and/or MongoDB.