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AI Model Validation Specialist 0626 jobs in United States
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nexus IT group · 1 month ago

AI Model Validation Specialist 0626

Nexus IT Group is seeking an AI Model Validation Specialist to conduct independent reviews and validation of AI and machine learning models. The role involves assessing model risks, providing governance oversight, and ensuring compliance with industry standards.
ConsultingSoftware
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Growth Opportunities

Responsibilities

Conduct independent reviews and validation of AI and machine learning models, evaluating:
Model architecture and methodology
Assumptions, limitations, and intended use
Training, testing, and validation datasets
Performance metrics, thresholds, and benchmarking approaches
Review third-party model documentation, technical reports, and supporting artifacts to assess completeness, transparency, and accuracy
Evaluate whether models are operating as intended and producing reliable, defensible outcomes
Assess model risks across multiple dimensions, including:
Fairness and potential bias
Explainability and transparency
Reliability and operational limitations
Edge-case performance and unintended outcomes
Evaluate adherence to industry model risk management standards and emerging AI governance expectations
Identify control gaps, document findings, and recommend practical risk mitigation strategies
Provide independent input into AI governance, approval, and oversight processes
Partner with cybersecurity, technology, compliance, and risk teams to evaluate new AI use cases and model deployments
Serve as an independent reviewer, challenging assumptions, methodologies, and conclusions to strengthen decision-making and risk management practices
Lead periodic reviews and re-validations of AI and predictive modeling solutions
Evaluate model monitoring programs and key performance indicators, including:
Model drift
Stability and consistency
Performance deterioration
Emerging risk trends
Recommend remediation plans when performance, control, or risk thresholds are exceeded
Ensure monitoring activities align with enterprise AI governance requirements
Maintain comprehensive validation documentation and supporting evidence
Produce validation reports that are transparent, reproducible, and audit-ready
Support internal audits, examinations, and regulatory reviews through technical analysis and documentation
Present validation findings to both technical and non-technical stakeholders

Qualification

Model risk managementData scienceMachine learning model validationAdvanced analytics governancePredictive model evaluationMachine learning algorithmsStatistical modeling techniquesModel validation methodologiesModel development lifecycleModel validation lifecycleBias and fairness principlesModel governance frameworksExplainability techniquesInterpretability techniquesAI risk management frameworksRegulatory compliance for AI

Required

5+ years of experience in one or more of the following areas: Model risk management, Data science, Machine learning model validation, Advanced analytics governance
Experience evaluating predictive models within a regulated industry environment
Strong understanding of machine learning algorithms, statistical modeling techniques, and model validation methodologies
Experience assessing model performance, limitations, and operational risk
Knowledge of model development and validation lifecycles
Knowledge of bias, fairness, and responsible AI principles
Knowledge of model governance frameworks and control standards
Knowledge of explainability and interpretability techniques
Familiarity with industry-recognized AI risk management and governance frameworks
Understanding of regulatory and compliance considerations impacting AI and predictive analytics
Strong analytical and critical-thinking capabilities
Ability to independently challenge model assumptions and methodologies
Excellent written and verbal communication skills
Ability to translate complex technical findings into clear business and risk implications for leadership audiences

Company

nexus IT group

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Nexusitgroup is a company used for recruitment, it allows people to find jobs.

Funding

Current Stage
Early Stage

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