Imagry is seeking a Jr. DevOps / MLOps Engineer to join our R&D team and help design, build, and maintain our Machine Learning (ML), integration and deployment efforts.

Responsibilities:

Create and maintain MLOps infrastructure for Cloud and local AI training
Improve, stabilize, and maintain existing CI processes
Own the deployment pipeline end-to-end
Develop reliable tools to support R&D efforts, including specialized modules and implementation of Agentic AI
Requirements:

2+ years’ work history as a DevOps engineer
Proven MLOps skills in one of the following (or similar) platforms: ClearML, Mlflow, W&B
Hands-on experience working with local hardware
Deep understanding of CI/CD automated practices using Github and/or Docker
Ability to deploy ML/DL models while handling GPU constraints
Proficiency with artifact management frameworks such as Nexus, ECR, or similar
Nice to have:

Deployment experience with edge computing
Team member at a multidisciplinary start-up
About Imagry:

Imagry (https://imagry.co/) is an Autonomous Driving software provider that delivers vision-based autonomous driving solutions without HD maps, LiDAR, or the cloud. We have solved the scalability challenge for both public transportation and ride-sharing fleets (roboshuttles). Our AI-based, real-time, hardware-agnostic architecture integrates seamlessly with existing platforms, giving fleet and transit operators a cost-effective, production-ready autonomy solution for use on public roads.