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Red-team conversational AI models to find jailbreaks, prompt injections, and misuse cases, then document findings for customers.
Lead data engineering teams to design and build scalable pipelines and ETL processes, enabling analytics and ML deployments for business insights at Western Digital.
Principal Engineer designs and builds scalable data pipelines and ETL processes, integrates ML models, and creates dashboards to support analytics and business decisions using SQL, Python/Java/Scala, and big data tools.
Designs, builds, and maintains ETL pipelines using Informatica PowerCenter to integrate enterprise data and support business-critical applications.
Design and implement data analytics, warehouse, and lake solutions, model data, and lead a technical team to align with business goals.
Design and deliver secure, scalable Azure AI and cloud-native solutions using Python/.NET, GitHub, and Azure AI Foundry for Korean-speaking stakeholders.
Build AI-driven analytics and experiments to inform business decisions for a fintech product, unifying data sources and scaling ML insights across product lines.
Build and deploy AI models using Python, TensorFlow/PyTorch, and MLOps on Azure to drive predictive analytics and business insights.
Build and deploy AI models using Python, TensorFlow/PyTorch to generate business insights and predictive analytics, collaborating with cross-functional teams.
Build and deploy production-grade ML systems that turn prototypes into scalable solutions for global market research, using Python and statistical modeling.
Builds and deploys predictive AI models and analytics solutions using Azure and MLOps tooling to drive business decisions.
Lead data integration projects using Informatica PowerCenter, building ETL pipelines and MDM solutions to transform enterprise data for business reporting and analytics.
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