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Schneider Electric

Global energy management and automation provider

AI Engineer I

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeShanghai, ChinaNo salary listedIn-person

About the Job

Requirements

  • Apply machine-learning algorithms to build predictive models that address business challenges.
  • Use feature engineering to transform raw data into meaningful inputs that improve model accuracy.
  • Clean and prepare datasets to support high-quality model training.
  • Use machine-learning frameworks to implement and test AI solutions.
  • Write code to develop and deploy machine-learning applications.
  • Use cloud platforms to support scalable AI infrastructure.
  • Manage code changes and collaboration through version control.
  • Automate testing and deployment through continuous integration.
  • Use analytical thinking and problem-solving to address technical challenges.
  • Be willing to learn emerging technologies and expand professional knowledge.
  • Understand business needs and provide AI solutions.
  • Adapt to changing priorities in a dynamic environment.

Responsibilities

  • Develop, test, and deploy machine-learning models to address business challenges and improve operational performance.
  • Collaborate with data scientists and analysts to create minimum viable products and convert algorithms into accessible APIs.
  • Automate infrastructure and processes to improve efficiency and support data-science teams.
  • Maintain AI systems through model monitoring and continuous integration and delivery practices.

About the Company

Schneider Electric

Global energy management and automation provider

Schneider Electric is a global specialist in energy management and automation. It helps homes, businesses, and industries run electricity more efficiently by selling electrical products, automation hardware, software, and related services. Its offerings cover electrification, automation, and digitization, and solutions connect devices, collect data, and control systems to optimize energy use in smart industries, resilient infrastructure, and data centers. The company distinguishes itself with a broad, end-to-end portfolio and a worldwide presence in over 100 countries, combining hardware, software, and services to address sustainability and reliability. Its goal is to help people and organizations use energy more efficiently, reduce environmental impact, and improve uptime and reliability.

Company size
10,001+
Company stage
IPO
Headquarters
Rueil-Malmaison, France
Founded
1836

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