We are looking for an MLOps Engineer with experience in the automotive industry to support the development and maintenance of advanced data- and algorithm-driven solutions for the autonomous driving domain. In this role, you will work on environments for training, deploying, and scaling models, as well as pipelines processing very large volumes of data.
We are looking for someone who understands both the infrastructure and algorithmic sides of MLOps — especially in the context of perception, behavioral algorithms, and solutions supporting autonomous driving systems.
Responsibilities
- Design, develop, and maintain MLOps environments for algorithms used in the autonomous driving domain
- Build and enhance pipelines for model training, validation, and deployment
- Work with large-scale datasets, including data processing, organization, and optimization of data flows
- Scale infrastructure and processes to support massive data volumes
- Refactor existing solutions and improve their performance, stability, and maintainability
- Collaborate with teams working on perception algorithms and behavioral logic
- Contribute to the design and development of solutions based on AWS and Terraform
- Support development and data/ML teams in automating training and deployment processes