The Technical Lead (AI/ML) provides technical leadership and oversight for fraud analytics model development, deployment, and lifecycle management in support of IRS identity theft and fraud detection programs. This role is responsible for guiding the design, development, and continuous improvement of predictive models, business rules, and analytical frameworks operating in both production and non-production environments.

The Technical Lead collaborates closely with government stakeholders, data scientists, and operational teams to ensure models are effective, scalable, and aligned with evolving fraud schemes and taxpayer protection strategies. This role supports critical PWS tasks including model development and maintenance, model monitoring and performance evaluation, analytical support, pilot analytics, and production support.

Key Responsibilities

• Provide technical direction for AI/ML model development, deployment, and lifecycle management
• Oversee development, enhancement, and consolidation of predictive models, filters, and business rules
• Ensure models are optimized for fraud detection, identity theft differentiation, and operational efficiency
• Lead model validation, performance monitoring, and recalibration efforts
• Support rapid analytical response to emerging fraud schemes and vulnerabilities
• Guide integration of internal and external data sources into analytical models
• Collaborate with government stakeholders to align analytical outputs with program objectives
• Ensure compliance with IRS standards for model governance, documentation, and auditability
• Provide technical mentorship to data scientists and analysts
• Support transition of models from pilot to production environments

Day-to-Day Activities

• Review and guide ongoing model development and tuning activities
• Analyze model performance metrics and recommend enhancements
• Coordinate with analysts to evaluate fraud patterns and emerging schemes
• Oversee testing and validation of new models and rules
• Participate in technical discussions with IRS stakeholders and cross-functional teams
• Support troubleshooting of model performance issues in production
• Review code, documentation, and analytical outputs for quality and accuracy
• Provide input to reporting, dashboards, and performance tracking metrics
• Facilitate knowledge sharing and technical best practices across the team