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Design and build cloud-native data platforms on AWS, focusing on scalable pipelines, governance, and cost-optimized operations for analytics and BI.
Design and deploy enterprise AI systems, including multi-agent architectures and RAG pipelines, integrating LLMs with SAP and internal tools to drive logistics innovation.
Build and maintain Azure Data Factory pipelines and Power BI/Microsoft Fabric reports, ensuring data quality from ERP/CRM sources in a remote Philippines role.
Designs and builds scalable data pipelines for finance and supply chain systems, ensuring reliable data ingestion and transformation in a warehouse and data lake environment.
Designs evaluation frameworks for AI models, ensuring accuracy and safety while transforming raw text into high-quality training data for large language models.
Build and maintain Selenium-based C# automation frameworks, integrate tests into CI/CD pipelines, and collaborate with QA/product teams to improve test coverage and efficiency.
Builds and optimizes ETL pipelines and data architectures for a municipal civil registry using Python or Java.
Builds and deploys AI-powered applications using LLMs, RAG, and agentic AI; integrates with cloud services and vector databases.
Build and deploy AI agents and workflows that automate tasks, integrate LLM APIs, and ship production features end-to-end.
Design and optimize scalable ETL pipelines using PySpark and Databricks for a global financial institution’s data infrastructure.
Build and deploy ML/AI systems for manufacturing—computer vision, predictive analytics, and anomaly detection—to improve quality and automation in plant operations.
Senior Data Scientist builds and deploys ML models across credit risk, fraud, and growth at a BNPL fintech, using Python, SQL, and AI tools to drive business decisions and scale lending to users without credit history.
Designs and builds AI-driven finance automation systems, including agentic AI for workflows and ML models for forecasting, while setting technical standards and governance for Finance.
Design and govern end-to-end enterprise GenAI architectures on Databricks, integrating LLMs, vector search, and agentic workflows with Python and Azure.
Designs and optimizes Google BigQuery data pipelines and Looker dashboards to deliver scalable analytics solutions for stakeholders.
Designs and builds large-scale data systems to power analytics and business intelligence at a cybersecurity-focused company.
Build and maintain AI-driven marketing data pipelines in Snowflake, using Python and SQL to ensure clean, accessible data for predictive models and analytics.
Senior Clinical Data Engineer builds and optimizes clinical data systems for regulatory compliance and analytics in a precision medicine company.
Designs, deploys, and maintains scalable cloud databases using SAP HANA, Kafka, and Kubernetes, automating with Ansible/Terraform and supporting 24/7 operations.
Build next-gen AI-powered security tools by designing multi-agent systems in Python, integrating with security tools via MCP, and developing RAG pipelines for autonomous pentesting and remediation.
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