Resource Metrix
AI

SFLC Contingent - Lead Data Scientist / AI-ML Engineer

Resource Metrix · Baltimore, MD, US · $130k - $175k

Actively hiring Posted 5 months ago

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.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Remote Machine Learning Data Science Generative Ai Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.