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Analyzes and maintains library metadata (MARC, Dublin Core) using Python/SQL, automates data workflows, and applies AI tools to improve record matching and data quality.
Build and deploy AI-powered internal tools using Next.js/TypeScript, Python/Streamlit, PostgreSQL, and AWS, owning the full stack from prototype to production for hundreds of global users.
Builds and deploys AI-powered data solutions for Warner Music’s teams, using Python, React, Databricks, Snowflake, and AI tools like Genie and Cortex to turn weeks-long workflows into minutes.
Build and migrate data pipelines for Apple’s AI platforms in China, using Python, Spark, Kafka, and SQL to support real-time and batch processing for machine learning systems.
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics, anomaly detection, and generative AI integrations, while mentoring staff and managing client engagements.
DevOps engineer builds and maintains CI/CD pipelines, Kubernetes deployments, and automation tools for AI agents and ML models in a fintech AI platform.
Designs and implements enterprise-scale data platforms and pipelines for analytics, compliance, and AI/ML use cases using cloud tools like Snowflake and AWS.
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and vector databases.
Builds full-stack analytics tools in C#/Python and React (TypeScript) that support global trading decisions, iterating quickly on user feedback in a fast-paced energy-commodities environment.
Senior economist/data scientist builds and deploys econometric and ML models in Python/R, analyzes large datasets, and crafts client-facing reports and dashboards.
DevOps engineer builds and maintains CI/CD pipelines, Kubernetes deployments, and AI-agent infrastructure for a large bank’s AI Hub, using Jenkins, ArgoCD, Helm, and Python.
Senior data scientist builds automated workflows and models to analyze large geospatial intelligence datasets for U.S. defense and intelligence missions using Python, SQL, and GIS tools.
Data scientist builds automated workflows and models to analyze geospatial intelligence data for U.S. defense and intelligence missions using Python, SQL, and GIS tools.
Senior Data Analyst builds retail campaign and sales insights using SQL, Python/R, and GCP, visualizing results in Looker/Power BI and driving data-driven decisions for a large retail client.
Build and deploy AI/ML systems for financial services, including LLMs, RAG pipelines, and agentic workflows using Python, cloud platforms, and MLOps practices.
Build and maintain ML models and data pipelines to analyze traffic data, helping cities optimize transportation networks using Python, SQL, and cloud tools.
Build data models, dashboards, and ML models to support fixed-income investment decisions for a $130B portfolio, using SQL, Python, Tableau, and Streamlit.
Senior Investment Data Analyst builds and maintains AI-enabled investment data pipelines, using SQL, Python, and Snowflake to validate and analyze asset-class data for reporting and process improvements.
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics and generative AI, while mentoring staff and managing line responsibilities.
Build and deploy AI/ML models to enhance Workday’s product suite, leading projects and mentoring junior team members while delivering visual insights with Dash or Streamlit.
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