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Machine Learning Engineer – Freelance Model Audit

Synaptic Labs

Remote · $10K – $18K · Freelance · Posted 6 months ago

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About the role

In early 2024, we deployed a credit risk scoring model into our loan origination pipeline. It has been running without a formal review since. Our compliance team has flagged this ahead of an upcoming regulatory audit. We need an experienced ML engineer to conduct a time-boxed audit: assess model drift, evaluate performance across demographic segments, and deliver a written report suitable for our compliance and risk teams. The scope is well-defined and the documentation is thorough — we just need the right expertise.

Fully remote.

Key Deliverables

List the expected deliverables for this project.

  • Review model documentation, training data, and current predictions
  • Run drift and performance diagnostics using recent data
  • Apply fairness and bias checks across demographic segments
  • Deliver a written report with risk rating and actionable recommendations
  • Present findings to the model owners and compliance team

Requirements

Technical stack needed for this mission.

  • Experience auditing or evaluating production ML models
  • Strong Python (Pandas, Scikit-learn, SHAP or similar explainability tools)
  • Familiarity with fairness metrics and bias detection
  • Able to write a clear, executive-ready audit report
  • Self-directed — works with minimal supervision

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Contract Type

Fixed-price

Level

Mid-level

Budget Range

$10,000 – $18,000

Duration

Less than 1 month

AI Expertise

AI & Machine Learning Engineers

Skills

python scikit-learn statistics sql

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About Synaptic Labs

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