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SCScandit

Senior Machine Learning Engineer (Computer Vision)(m/w/x)

Zürich
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Semantic document parsing for advanced scanning solutions at a workflow automation tech provider. 5+ years solving recognition problems required. Global team outings, company celebrations, birthday off.

Requirements

  • Passion for building and improving machine learning systems
  • Proven track record of delivering computer vision systems
  • Comfortable working independently or in a team
  • Creativity and determination in problem-solving
  • 5+ years of experience solving recognition problems
  • Fluency in C++ and Python
  • Experience running ML models on mobile devices
  • Experience with machine learning frameworks (Pytorch, Jax, Tensorflow)
  • Skilled in software design, problem-solving, and debugging
  • Experience in computer vision systems or fine-tuning vision-language models is a plus

Tasks

  • Drive semantic document parsing for customer use cases
  • Participate in all phases of quality improvements
  • Define and track performance metrics
  • Prototype and test new features
  • Integrate existing models and create new models
  • Collect and analyze data
  • Debug and optimize algorithms
  • Stay updated on research in document classification and text recognition
  • Identify opportunities to enhance recognition capabilities
  • Mentor team members on code quality and engineering practices

Work Experience

  • 5 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • C++
  • Python
  • Pytorch
  • Jax
  • Tensorflow

Benefits

Flexible Working

  • Flexible working options
  • Support for remote work

Informal Culture

  • People-first culture

Team Events

  • Global team outings
  • Festive all company celebrations

More Vacation Days

  • Birthday off

Competitive Pay

  • Individual equity plan

Modern Office

  • Excellent office infrastructure

Additional Allowances

  • Location-specific benefits
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Scandit 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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