Model Governance Engineer (JOB ID 2318)
OneSparQOneSparQ is looking for a Model Governance Engineer.
*This position is fully remote, but candidates must be able to arrange and complete ID verification before starting at one of the following locations: Los Angeles, Atlanta, Miami, Dallas, Chicago, or Scottsdale.*
Required Skills:
- 10+ years in Machine Learning, Data Science, Model Development/Validation, or AI Governance
- Strong hands-on experience with Neural Networks / Machine Learning
- Experience with Model Governance, Model Risk Management, or Responsible AI
- Strong knowledge of model validation, performance assessment, drift detection, bias testing & explainability
- Hands-on Python, Java & SQL
- Experience with Azure + Databricks + Spark
- Bachelor’s/Master’s in Data Science, Statistics, Mathematics, or related field. (Math background preferred)
Additional Skills: (not required)
- Experience building model governance frameworks/standards
- Building monitoring dashboards & governance metrics
- Experience with precision/recall, confidence scoring & statistical analysis
- Experience investigating model degradation, data drift & concept drift
- Experience with AI policy, regulatory compliance, audits, or Responsible AI
Resonsibilities:
- Build and oversee neural network / ML models
- Develop and maintain AI/model governance frameworks
- Lead model validation, performance reviews & risk assessments
- Monitor models for drift, accuracy, bias and degradation
- Develop governance dashboards, metrics & reporting
- Partner with Data Science, Engineering, Architecture & Business teams
- Maintain model documentation, validation reports & audit materials
- Investigate model performance issues and recommend corrective actions
- Communicate model risks, findings and recommendations to technical and business leadership
- Improve enterprise AI governance processes and standards