Contract Data Engineer – Remote/Kenosha, NLP & ML Metrics

Energy Innovation Corp

Kenosha (WI)

Sur place

USD 74 000 - 108 000

Temps partiel

14 jours+

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Résumé du poste

ScaleAdvantage Corp in Kenosha, WI is seeking a mid-level Data Engineer for a contract role focused on NLP-driven analytics and visualization. The position emphasizes cost-aware ML infrastructure and rapid incident response, with mentorship and a clear growth ladder.

You will work across NLP metrics, Grafana/Matplotlib dashboards, and on-call rotations to keep systems reliable. This role is on-site in Wisconsin with potential remote flexibility.

Qualifications

  • Experience with NLP projects and related tools.
  • Ability to learn new tech quickly.
  • Strong portfolio or prior work demonstrating data engineering skills.

Responsabilités

  • Trim cloud costs by right-sizing Scikit-learn infrastructure in Kenosha, WI.
  • Translate NLP metrics into dashboards used by ScaleAdvantage Corp leadership.
  • Migrate or remove Seaborn stacks while preserving visibility before the deadline.
  • Ship prioritization fixes to ScaleAdvantage Corp customers in Kenosha, WI the same day they report them.
  • Lead Matplotlib design reviews to avoid costly mistakes in Kenosha builds.
  • Evaluate and recommend new tools, frameworks, and Matplotlib libraries.
  • Deliver trust-based interpersonal features supporting the technology roadmap.
  • Respond to on-call rotations and participate in postmortems.

Connaissances

NLP basics
Stakeholder presentation
On-call support
Adapt quickly

Outils

Scikit-learn
Matplotlib
Seaborn

Description du poste

ScaleAdvantage Corp in Kenosha, WI is seeking a mid-level Data Engineer for a contract role focused on NLP-driven analytics and visualization. The position emphasizes cost-aware ML infrastructure and rapid incident response, with mentorship and a clear growth ladder.

You will work across NLP metrics, Grafana/Matplotlib dashboards, and on-call rotations to keep systems reliable. This role is on-site in Wisconsin with potential remote flexibility.

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