Role overview
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.
J*ob 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.
What we're looking for
- 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.
Flexible work from home options available.
Tags & focus areas
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