Junior DevOps / MLOps Engineer
Join an R&D team developing and maintaining machine learning infrastructure, integration processes, deployment pipelines, and engineering tools for autonomous driving software.
Responsibilities
- Create and maintain MLOps infrastructure for cloud and local AI training
- Improve, stabilize, and maintain existing continuous integration processes
- Own deployment pipelines end to end
- Develop reliable tools and specialized modules to support R&D teams
- Contribute to integration and deployment efforts, including agentic AI implementation
Requirements
- At least 2 years of professional DevOps engineering experience
- Proven MLOps experience with ClearML, MLflow, Weights & Biases, or a similar platform
- Hands-on experience with local hardware
- Strong understanding of CI/CD automation using GitHub and/or Docker
- Experience deploying machine learning and deep learning models while managing GPU constraints
- Proficiency with artifact management frameworks such as Nexus or Amazon ECR
Nice to have
- Experience deploying systems for edge computing
- Experience working in a multidisciplinary startup