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ETEthon

Computer Vision Engineer, Applied ML(m/w/x)

Zürich
Full-timeWith Home OfficeSenior
AI/ML

Deploying computer vision systems for agentic workflows in manufacturing. Strong technical foundation in computer science required. Stock options, vacation bonus, and learning budget.

Requirements

  • Curiosity and eagerness to learn and grow
  • Passion for cutting-edge tech
  • Driving impact in manufacturing
  • Willingness to apply even if not all points are met
  • Strong technical foundation in computer science
  • Focus on computer vision (CV) and machine learning (ML)
  • Solid understanding of core ML and CV concepts
  • Hands-on model training experience
  • Shipped model or CV pipeline in production
  • Excellent communication skills in English
  • Strong motivation for dynamic, fast-paced environment
  • Expertise in visual quality, defect or anomaly detection
  • Experience in model deployment (e.g., ONNX)
  • MLOps basics
  • Experience in visualization of model internals
  • Experience in explainability

Tasks

  • Design and train machine learning models
  • Evaluate and debug models
  • Curate high-quality datasets
  • Deploy computer vision systems
  • Build state-of-the-art vision models
  • Stay updated with latest advancements
  • Integrate new approaches as needed
  • Transition solutions from prototypes to production

Work Experience

  • approx. 4 - 6 years

Education

  • Compulsory education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Computer Vision
  • Machine Learning
  • ONNX

Benefits

Competitive Pay

  • Stock options

Career Advancement

  • Performance-based career paths

More Vacation Days

  • Vacation bonus

Generous Parental Leave

  • Flexible parental leave

Learning & Development

  • Learning budget
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Ethon and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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