About the Role
Key ResponsibilitiesTechnical Leadership
+ Lead end-to-end development of advanced AI models (e.g.,LLM, NLP, classification, regression, deep learning).
+ Architect scalable model pipelines and data workflows in cloud-based environments.
+ Establish best practices in model validation, explainability, fairness, and governance.
+ Conduct rigorous experimentation, A/B testing, and performance monitoring.
+ Drive research into emerging AI techniques and evaluate applicability to LexisNexis products.
Product & Business Impact
+ Partner with Product, Engineering, and Business stakeholders to translate requirements into analytical solutions.
+ Identify opportunities to enhance risk scoring, entity resolution, legal analytics, fraud detection, compliance monitoring, or related product areas.
+ Present insights and recommendations to senior leadership and non-technical audiences.
+ Ensure models meet regulatory, compliance, and ethical AI standards.
...
+ Lead end-to-end development of advanced AI models (e.g.,LLM, NLP, classification, regression, deep learning).
+ Architect scalable model pipelines and data workflows in cloud-based environments.
+ Establish best practices in model validation, explainability, fairness, and governance.
+ Conduct rigorous experimentation, A/B testing, and performance monitoring.
+ Drive research into emerging AI techniques and evaluate applicability to LexisNexis products.
Product & Business Impact
+ Partner with Product, Engineering, and Business stakeholders to translate requirements into analytical solutions.
+ Identify opportunities to enhance risk scoring, entity resolution, legal analytics, fraud detection, compliance monitoring, or related product areas.
+ Present insights and recommendations to senior leadership and non-technical audiences.
+ Ensure models meet regulatory, compliance, and ethical AI standards.
...
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