SFLC Contingent - Lead Data Scientist / AI-ML Engineer

Benefits: Bonus based on performance Competitive salary Paid time off Summary –Supports SFLC in developing NLP/LLM analytics and intelligent automation for maintenance data, enabling indexing, classification, and lifecycle associations. Job Description – Designs, trains, and deploys NLP/LLM models for extracting entities and relationships from unstructured maintenance data; leads technical sprint execution. Responsibilities Build NLP/LLM models for indexing 5+ years of reports. Develop association logic for reports, equipment, work items, and failure modes. Apply continuous improvement for data quality and classification. Conduct discovery for automation use cases and feasibility scoring. Support sprint development, evaluation, and analytic reporting. Qualifications – Required: 6+ years NLP/ML; experience with unstructured maintenance or asset data; familiarity with Section 508, DHS 4300A, and EA/TRM compliance. Flexible work from home options available.