Senior ML Platform Engineer - AD/ADAS

About this kind of role

What a Senior ML Platform Engineer - AD/ADAS usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains machine learning platforms and infrastructure to support the development and deployment of advanced driver-assistance systems (ADAS). This includes automating machine learning workflows, managing data pipelines, and ensuring the scalability and reliability of ML models in production. They collaborate with data scientists and other engineers to optimize model performance and integrate ADAS features into vehicles. Responsibilities often extend to monitoring system health and implementing improvements for efficiency and security.

Tools and skills: Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), programming languages like Python and Java, and experience with machine learning frameworks (TensorFlow, PyTorch) is generally expected.

Good fit for: Individuals with a strong background in software engineering and a passion for machine learning, particularly those interested in the automotive industry, thrive in this role.