Company Details

We develop pioneering technology to empower analysts to take smart actions for a safer world. Our artificial intelligence solutions are based on an automated analysis of geospatial intelligence (GEOINT) workflows. Powering state-of-the-art Machine Learning and Computer Vision, we aggregate information from multi-intelligence sources (Multi-INT), such as imagery (IMINT), electromagnetic (ELINT), or open source (OSINT), to provide our Defence and Intelligence customers with strategic knowledge regarding mission critical areas of interest ensuring a more insightful operating picture.

Preligens has developed efficient monitoring tools based on an automated analysis of geospatial information and multiple other sources. By combining state-of-the-art AI techniques in both Computer Vision and Deep Learning, Preligens provides its customers with more reliable and more precise information, thus enabling faster interventions for a safer environment.
Our fast growth (x5/year) is fueled by international development (UK, Germany, US) and development of new product lines.
You will be joining the AI Engineering team, a dedicated bunch responsible for crafting and continuously improving our custom-made AI platform and frameworks. Key features include building and visualising datasets on remote sensing images, training, evaluating and optimizing fully configurable CNN models over time, and much more.
As a DevOps at Preligens, you will work to increase automation and quality of our AI platform and related infrastructure! You will work with strong autonomy and ability to design your own workflow.
  • – Provide operation support for our cloud-based AI platform and data pipelines
  • – Automatize infrastructure deployment and maintenance
  • – Implement and maintain workflow tools for Deep learning task distribution
  • – Deploy CI and CD process, and tools to increase code quality and maintainability
  • – Contribute to promoting a strong engineering culture and passion for quality and things well done
We are looking for an open-minded individual with impressive skills and a proven track record. Mastering the skills listed below will not be too much to be up to the challenge.
  • – At least 3 years of experience in a similar position
  • – Experience working with cloud infrastructure instances (AWS, Azure)
  • – Experience with Docker, Docker-compose and Kubernetes
  • – Excellent organizational skills and autonomy
  • – A passion for shipping quality code within deadlines and for automated testing
  • – Willingness to take on challenges, show resiliency and always learn new skills
  • – Experience working with GPU intensive framework and AI
  • – Experience working with on premise deployments of complex software stacks
  • – Experience with hosted cloud services (ElasticSearch services, hosted SQL)
  • – Experience in startups or high reliability companies (cloud-based services, software providers, aerospace, defense…) with direct responsibility to maintain and improve products, infrastructures and processes would be a very strong asset
  • – Interest for deep-learning and geospatial data processing
Select your currency
Visit us on LinkedInVisit us on FacebookVisit us on Twitter