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At Trax, our people are at the core of our business, as we create technology and services that are changing the world of retail. Get to know us.

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Trax is a rapidly growing
company with start-up values

We started out with the daring mission of solving long-standing problems for our CPG and retail customers. Today, we are proud to be market makers, and our journey is streaked with perseverance, team work and a whole lot of fun.

Unleash your potential by joining a powerhouse of brilliant minds from diverse backgrounds, in an environment that is learning-friendly - and often filled with food!


Backend Developer

Budapest · Full-time · Experienced

About The Position

Trax is the world leader in computer vision solutions for retail. At Trax, we leverage cutting-edge technologies to help our clients in the retail industry match in-store reality with their expectations. To do so, we use image recognition to check shelf compliance based on photos taken in stores. Our current platform is processing 1G photos every year from all over the world against a database of 1M products with an error rate lower than 1%.

Now, we are looking for a Backend Developer to join our Research Lab and build the system of tomorrow.


  • Design, build, deploy Trax’s new MLOps platform (fully automated, at scale)
  • Tracking latest technological advancements and maintaining an up-to-date platform
  • Working with a cross-functional team on various advanced “Proof of Concepts” and innovative projects
  • Contributing to the creation of a cutting-edge machine learning framework, following your project from the proof of concept to the late stages, including integration and maintenance


  • At least 2 years of proven experience in designing/developing/deploying automated MLOps pipelines at scale
  • Strong programming skills in Python (including ML frameworks) and another programming language (ideally NodeJS)
  • Familiarity with the existing MLOps frameworks (workflow pipelines and orchestration, data storage, monitoring, deployment)
  • Good knowledge of at least one of the major cloud environments (ideally GCP) and commonly used tools for development/DevOps
  • Practice of agile development: unit testing, continuous build integration and deployment (Git, Jenkins), and agile methodologies
  • Fluent English (both spoken and written)
  • A strong desire to learn and adapt new technologies and challenges
  • Good communication and collaboration skills


  • MSc in computer vision, machine learning, computer science or computer engineering

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