Oglasi za posao Senior Computer Vision and Machine Learning Engineer

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Senior Computer Vision and Machine Learning Engineer

EINO

Remote

27.10.2024.

Python PostgreSQL SaaS senior

Job Summary:

eino has an opening 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.

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