Duration: 12+ months Compensation: up to $100/hr (W2 only w/ Benefits) Location: Dallas, TX (on-site 5 days/week) *** No Vendors/3rd parties***
Requirements:
3+ years building, training, evaluating, and deploying ML models in production.
Experience with Document AI, including document classification, data extraction, OCR, or intelligent document processing (IDP).
Hands-on experience with Generative AI/LLMs, including RAG, semantic search, and vector databases.
Experience with NLP, model fine-tuning, benchmarking, and performance optimization.
Experience deploying models into production alongside engineering teams.
Familiarity with Model Risk Management (MRM) or model governance is a plus.
Responsibilities:
Design, build, train, and optimize machine learning and GenAI models for document processing and intelligent automation.
Develop and fine-tune models for document classification, data extraction, translation, and semantic search/RAG pipelines.
Evaluate and benchmark models, improve accuracy (including OCR vs. vision model comparisons), and support POCs and experimentation.
Create model documentation to meet Model Risk Management (MRM), governance, and audit requirements.
Partner with ML Engineers to integrate models into production and collaborate with QA/UAT teams to validate performance and quality.