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Design and ship safety-critical embedded firmware for autonomous and connected vehicle platforms using C/C++, RTOS, and real-time systems.
Builds and maintains .NET applications, integrates AI features into industrial systems, and collaborates on full project lifecycles using C#, React, and Azure DevOps.
Engineers and deploys production-grade AI/ML systems using MLOps practices on Azure, managing model lifecycle, CI/CD, and monitoring for scalable, secure deployments.
Maintains and operates AI/HPC data center infrastructure, installing and troubleshooting GPU clusters, servers, storage, and networking gear in a Linux/TCP/IP environment.
Senior Data Analyst on Grab’s Integrity team builds fraud-detection models and risk controls using AI and graph-based methods to analyze user behavior and financial crime patterns.
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.
Designs and maintains ELT pipelines in Snowflake, builds scalable workflows with Airflow, and writes Python connectors to feed data-driven decisions for a regional digital bank.
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.
Build and maintain MLOps pipelines to deploy, monitor, and scale AI/ML models in production on Azure, ensuring reliability, security, and continuous improvement for DKSH’s AI systems.
Lead a Pega-based financial-messaging platform: design solutions, build PRPC/Constellation apps, integrate APIs, and own CI/CD for a global fintech product.
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