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SFLC Contingent - Lead Data Scientist / AI-ML Engineer

Resource Metrix

Posted 5 days ago

About this role

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.

Compensation: $130,000.00 - $175,000.00 per year


Mission Statement

Our mission is to deliver elite management and technology consulting services that empower our federal agency clients to achieve their most complex and mission-critical objectives. We specialize in assembling highly specialized teams of subject matter experts, analysts, and technical specialists with direct experience supporting federal programs—operations and technology.

Founded in 2010 with multi-million dollar value, 150+ employee alumni and a proven track record, we bring deep expertise in administrative management, custom software development, facilities support, aviation operations, and secure telecommunications.

We exist to serve our clients with precision, agility, and integrity—delivering solutions that drive measurable impact across government operations.



Job details

Workplace

Office

Location

Baltimore, MD, US

Job type

Full Time

Salary

130k - 175k USD

per year

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