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.