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Ethon

AI-powered analytics for manufacturing OEE

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeZürich, Switzerland

About the Job

Requirements

  • A degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related field is required.
  • Fluency in Python is required.
  • A consistent track record of outsized impact and going the extra mile is required.
  • An urge to join a fast-paced, impact-driven team is required.

Responsibilities

  • Work directly with technical teams at customers' factories to connect their data and workflows to the software.
  • Apply state-of-the-art artificial intelligence in challenging real-world settings to drive user adoption and prove value to the customer.
  • Collaborate closely with Deployment Strategists and other Forward Deployed Engineers to deliver value quickly and consistently.
  • Contribute features directly to the product so customers get the most out of the platform.
  • Proactively keep the product organization informed of key pain points and opportunities to improve the platform.

Desired Qualifications

  • Familiarity with SQL and artificial intelligence/machine learning libraries.
  • Familiarity with DevOps and deployment in the cloud and on premises.
  • Experience in customer-facing roles, especially with enterprise customers.
  • Experience in manufacturing or a related industry.
  • Prior startup experience.

About the Company

Ethon

AI-powered analytics for manufacturing OEE

EthonAI provides a Manufacturing Analytics System that acts as an AI-powered analytics layer to improve operational efficiency and product quality by extracting real-time insights from a factory’s existing data. It connects to MES, ERP, Historian, and Quality Systems to aggregate data, then delivers dashboards, live analysis, and shared monitors to support root-cause analysis and scalable analytics. The platform standardizes analytics across multiple factories, reducing fragmentation from legacy tools and minimizing user bias. Its goal is to raise OEE and process quality by enabling real-time insights and cross-site collaboration across an organization.

Company size
51-200
Company stage
Series A
Total funding
$24.5M
Headquarters
Zurich, Switzerland
Founded
2021

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