We are a start-up focused on applying artificial intelligence techniques in industries. Our main expertise is data science.
Job opening:

Applied Computer Vision Engineer

We are a small company of 30 software engineers, machine learning engineers and data scientists. Utilizing artificial intelligence techniques and data driven methods we deliver innovative and highly added value solutions. We analyse data from sensors, robots or high-tech devices and make them smarter. Our code and algorithms live through the devices and products manufactured by our business partners across the globe.

We are looking for a computer vision engineer who breathes state-of-the-art CV techniques, loves rapid prototyping and lives in high quality production code.

Roles & Responsibilities
  • As an applied computer vision engineer, you will tackle a range of challenging CV problems.
  • Researching, prototyping, productionizing and deploying computer vision projects.
  • Optimizing runtime efficiency of models for deployment.
  • To deliver production-ready software you will be teaming up with data engineers, data scientists as well as subject matter experts on a regular basis.
  • MS or Ph.D in Computer Science, Computer Vision, Robotics, Mathematics or a related field.
  • 1+ years of practical experience in computer vision and deep learning.
  • Ability to pick up and learn new techniques and tackle a variety of CV problems.
  • Proficiency in Python/C++.
  • Working experience with OpenCV and other computer vision libraries.
  • Experience developing in Unix environment.
  • Proven track record of computer vision software development.
We offer
  • Friendly, family-like working ambiance of a small company.
  • Challenging, innovative projects. We are not a data sweatshop, we focus on high-end work.
  • A young and agile team of AI enthusiasts.
  • Flexible working hours and competitive salary.
  • Office at Vitezne namesti, 1 minute to catch a tram, 2 minutes from metro Dejvicka.
Contact us on info { @ } datamole.cz, +420 222 959 009 or come for a chat to our research lab at FIT CTU (TH:A-1349).