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Schneider Electric

Global energy management and automation provider

ML Ops and AI Intern

Applied Machine LearningConfirmed live in the last 24 hours
InternshipGrenoble, France

About the Job

Requirements

  • A Bac +5 engineering-school qualification or Master's degree specializing in Artificial Intelligence, Machine Learning, Data Science, MLOps, or computer science.
  • Professional English at minimum C1 level, sufficient to work in an international team, read technical documentation, and present technical choices.
  • Strong foundations in Machine Learning and understanding of model lifecycle, particularly drift-related issues.
  • Good command of Python as a software-development language.
  • Experience with automated testing, documentation, and code-quality principles.

Responsibilities

  • Conduct a review of ML Monitoring solutions and formalize architectural choices through comparative analysis and Architecture Decision Records.
  • Industrialize and integrate reusable Python components for instrumentation, data collection and storage, metric calculation, and drift detection.
  • Evolve the user interface to configure monitoring and visualize deployment health, metrics, drift, and alerts.
  • Deliver production-quality code with unit, integration, and functional tests, as well as technical and user documentation.

Desired Qualifications

  • Knowledge of MLOps and observability tools such as MLflow, Prometheus, Grafana, or OpenTelemetry.
  • Experience with web development or monitoring solutions such as Evidently AI, Great Expectations, NannyML, or equivalent.

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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