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Lead large-scale data center construction projects from planning to completion, managing budgets, schedules, and teams while traveling regularly across the U.S.
Build and deploy AI-powered supply-chain solutions for Fortune 500 customers, turning prototypes into reusable platform features while owning end-to-end delivery in fast-moving hybrid teams.
Two-year hybrid graduate program in data engineering and analytics for energy-transition projects, building pipelines, dashboards, and governance under mentorship.
Build and scale a platform to deliver machine-learning model results for chemical datasets, collaborating with ML engineers on backend services, APIs, and full-stack development.
Builds predictive models and data pipelines to improve manufacturing efficiency using Python, R, and visualization tools like Power BI.
Data Analytics intern builds dashboards and scripts to analyze manufacturing datasets, automating reports with Python, SQL, and Power BI to support engineering decisions in a precision-tech environment.
Own the data engine and tooling that turn robot field data into training signals, improving fleet performance. Drive labeling schemas, quality audits, and operator-facing platforms for a robotics startup.
Build and deploy AI/ML models and data-analysis tools for EUV metrology systems, focusing on optical measurement data and agentic AI applications.
Drive AI/ML and automation programs across Lam’s global operations, partnering with business leaders to define use cases, deploy solutions, and measure business impact.
Design and verify mission-critical FPGA firmware for high-power satellites, implementing real-time control, networking, and RF systems in VHDL/SystemVerilog.
Principal Program Manager leading the AI portfolio for Lam Research’s Global Operations, coordinating AI/ML deployments, governance, and value realization across global supply chain and manufacturing.
Intern in sustainable water management, focusing on AI, IoT, and data analytics to support digital reporting and research initiatives.
Designs and implements cloud-based data platforms for an insurance-focused company using Azure Synapse, Cosmos DB, and Power BI to support analytics, governance, and regulatory compliance.
Designs and maintains industrial automation software, including HMIs and PLC integrations, for manufacturing equipment using C#/.NET and SQL Server.
Senior data scientist building ML models to forecast product demand, working with planners to optimize inventory and supply chains for Agilent’s climate-tech instruments.
Build and deploy predictive models to forecast demand and optimize inventory for Agilent’s climate-tech products in Penang.
Build and maintain POS+ applications using .NET, Blazor, and SQLite, integrating retail hardware and APIs while ensuring offline-first sync with messaging tech.
Build and deploy digital-twin software for semiconductor fabs, collaborating with global clients and traveling to manufacturing sites.
Data scientist in oil & gas who loads, cleans, and models subsurface datasets (seismic, well, reservoir) to build dashboards and support exploration decisions.
Builds high-performance scientific computing applications in C/C++, Java, and Python for data-intensive domains like 3D visualization and parallel computing.
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