Job Description
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.
26-00733
Skills
Acceptance Testingunmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Benchmarkingunmatched
Documentation Modelsunmatched
Machine Learningunmatched
Natural Language Processing (NLP)unmatched
Performance Tuning/Optimizationunmatched
Quality Assuranceunmatched
Risk Managementunmatched
Risk Modelingunmatched
Semantic Searchunmatched
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