The Percepto team is constantly pushing the boundaries
of what’s possible with hardware, software and AI.

DevOps for AI

Israel ·

About The Position

Percepto is the leading provider of autonomous inspection and monitoring solutions, harnessing robotics, including our very own market-leading industrial drone-in-a-box solution. Our team is made up of software and hardware engineers, industry experts and professionals who are all passionate about innovation and driven to push the boundaries of what’s possible with software, AI, and hardware. We are a fast growing company with offices in Israel, the U.S. and Australia, with Fortune 500 clients around the world. Our company growth is not stopping any time soon, and we are looking for great talent like you to join our team!

We are looking for DevOps Engineer with experience with AI environments to join our computer vision and deep learning group.

In this role, you will have the chance to work closely with algorithms researchers and engineers to design and develop the data pipeline and software tools for deep learning/machine learning environment. The pipeline and the tools will enable our product to achieve state-of-the-art AI Algorithms.

You will work with the most advanced frameworks and tools (AWS, Sagemaker, deep learning frameworks, etc.) in order to build tools that will speed up machine learning models development and delivery.This is an opportunity to join a professional Machine Learning team that gets our autonomous drone and robotics solutions to new heights!

Why join Percepto? We care about the people we work with; we want our team members to grow and develop professionally, to find their job rewarding and intellectually stimulating, and of course - to have fun and feel that they are part of the Percepto family.


? Design, build and maintain Percepto’s data pipeline from data collection through training and inference.

? Work with the group to understand requirements and develop solutions to improve team efficiency

? Design Deep Learning tools architecture

? Automate data collection and labeling according to algorithm requirements

? Develop software to improve machine learning workflows - analysis, benchmarking, visualization and automation

? Develop software to analyze DL models


  • BSc in Electrical / Computer Science Engineering or equivalent experience.
  • 3+ years working in the software development industry with good programming skills.
  • At least 1.5 years experience as DevOps with experience in automation , CI-CD , Artifactory tools.
  • Production Experience in cloud computing such as GCP, AWS , AZURE
  • Technical hands-on experience in system OS’s : Ubuntu , CentOs , RedHat , AWS Linux
  • 1+ years working in the AI production environment with many types of ML tools - an advantage
  • Experience in Python programming.
  • Experience in Computer Vision environment using MLOps open source tools - an advantage
  • Advantage: Experience in ML/CV framework such as SK-learn and/or Tensorflow/PyTorch
  • Excellent communication and teamwork skills
  • Passion for cutting-edge technologies and product delivery

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