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Senior Computer Vision and Machine Learning Engineer

EINO

EINO

Software Engineering
Remote
Posted on Tuesday, April 4, 2023

Senior Computer Vision and Machine Learning Engineer
Job Summary

eino is looking for a resourceful computer vision engineer with deep passion for building intelligent software modules for machine learning products. You will join eino’s product team to build a digital twin creator platform for connectivity solutions. Please include your previous experiences in building, shipping, and iterating on enterprise software products using cutting edge tools.

Responsibilities and Duties

  • Prototyping, building, testing, and delivering product quality computer vision modules
  • Prototyping, building, testing, and delivering product quality machine learning solutions
  • Working closely with technical leadership and product manager for fast development iterations on new features
  • Building innovate automation tools for enterprise applications

Qualifications and Skills

  • M.S. or Ph.D. in Computer Science, Electrical Engineering or related
  • 5+ years of experience in building image processing and image recognition algorithms
  • 3+ years of experience in building predictive models and optimization algorithms
  • 3+ years of industry experience developing product quality machine learning components
  • 3+ years of experience in backend Python programming
  • Deep expertise in our stack: * Python * OpenCV * Scikit-learn * Scikit-image * Tesseract * Rasterio * Neural Networks and Deep Learning * PostgreSQL

Perks

* Building innovative solutions for real-world problems
* Being part of a growing company with a strong foundation
* Educational support to grow personally, professionally, and technically
* Flexibility in working schedule

About eino:

eino is an AI-powered connectivity planning platform that holistically designs and simulates solution architecture for public and private WiFi/Cellular networks. Our SaaS platform enables network providers, systems integrators, and enterprises to automatically and efficiently plan new networks or test and expand existing ones for growth and new use-cases with digital twins.