Senior / Staff Machine Learning Infrastructure Engineer
Core
Design, develop, and implement the machine learning platform for continuous deployment and integration of machine learning models.
Role type
Senior/Staff Machine Learning Infrastructure Engineer
Builds
MLOps platforms and pipelines for autonomous transportation models
Domain
Autonomous transportation / Physical AI
Deliverable
infrastructure
Required skills
Python, TensorFlow, PyTorch, AWS, Azure, Google Cloud, Kubeflow, JupyterHub, Kubernetes, Docker, MLOps principles, model lifecycle management, pipeline optimization, security compliance, monitoring tools
Preferred skills
Infrastructure-as-code (Terraform, Crossplane), Apache Spark, Hadoop, data engineering practices, A/B testing, model validation
Technologies
TensorFlow, PyTorch, Kubeflow, JupyterHub, Kubernetes, Docker, Terraform, Crossplane, Apache Spark, Hadoop
Responsibilities
Design and implement ML platforms for continuous deployment; automate training, testing, and deployment processes; monitor and maintain model pipelines; optimize pipelines for scalability and efficiency; ensure security and data privacy compliance
Seniority
Senior, hands-on IC