we are 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
* 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
* 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
This position is open to all candidates.
