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Senior Consultant II - AI/ML Engineer - National General
Allstate · Remoto Brasil · Flexible / Remote
Publicada em 24/09/2026
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National General is a part of The Allstate Corporation, which means we have the same innovative drive that keeps us a step ahead of our customers' evolving needs. We offer home, auto and accident and health insurance, as well as other specialty niche insurance products, through a large network of independent insurance agents, as well as directly to consumers.Job DescriptionCompany: National GeneralNational General Insurance is an Allstate company, meaning it operates under the Allstate umbrella while maintaining its own brand identity and specialized insurance productsThis relationship allows National General to leverage Allstate's resources, technology, and financial stability while continuing to serve its customers with tailored insurance solutions.Employee benefits same as that of Allstate US Corporation employeesAbout the RoleThis role supports high-impact AI and data automation initiatives focused on improving data ingestion, transformation, and mapping processes across the organization. This position is responsible for advancing AI-assisted data mapping capabilities to reduce manual effort, enhance accuracy, and deliver scalable, maintainable solutions for development teams.Initial responsibilities include building and optimizing intelligent import tools that leverage AI/ML techniques to parse, normalize, and validate structured and unstructured data from various sources. Core deliverables involve developing mapping logic, identifying data discrepancies, creating standardized ingestion templates, and producing load-ready outputs for downstream systems. The role also contributes to analytics and dashboarding efforts while supporting source-specific data rules and configurations.Over time, the scope will expand to broader AI, data-layer, and automation initiatives aligned with evolving business priorities, with a strong emphasis on delivering solutions that improve operational efficiency and overall data quality in high-visibility workflows.Key objectives: Reduc
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