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Build and maintain scalable data pipelines using Spark and Databricks to support AI-driven enterprise solutions for major clients.
Senior AI & Automation Engineer designs and implements AI-driven solutions, evaluates vendors, and leads proofs of concept to improve business efficiency and innovation.
Build and maintain ETL pipelines, cleanse data, and create scalable Web APIs using Python, SQL, AWS, and Databricks for a data warehouse.
Designs and builds cloud-native data platforms on AWS, including data lakes and scalable ETL/ELT pipelines, to deliver clean, governance-compliant datasets for analytics and BI.
Builds accounting tools for Amazon FBA sellers using SP API to automate financial reporting, reconcile settlement/return data, and consolidate ledger reports.
Designs and builds scalable data pipelines on Azure Databricks to ensure reliable, high-quality data for analytics, ML, and AI-driven solutions in a climate-tech manufacturing context.
Build AI-powered automation and growth tools for a fintech platform, collaborating on backend, data, and frontend systems in a fast-paced environment.
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.
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.
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