MLOps Engineer
Core
Build and operate MLOps platforms on AWS supporting autonomous driving ML workloads, ensuring reproducible, traceable, and auditable ML workflows.
Role type
Senior MLOps Engineer (Autonomous Driving)
Builds
Highly available, multi-zone training and deployment environments for autonomous driving models
Domain
Automotive / Autonomous Driving / Cloud Infrastructure
Deliverable
production ML models
Required skills
AWS (ML workloads), Kubernetes/EKS, Terraform, Apache Airflow, MLflow, Python, CI/CD pipelines, distributed training orchestration
Preferred skills
Ray clusters, multi-GPU training setups, automotive engineering standards
Technologies
AWS, Kubernetes, EKS, Terraform, Apache Airflow, MLflow, GitHub, Ray
Responsibilities
Build and operate MLOps platforms on AWS; Implement and maintain highly available, multi-zone training and deployment environments; Operate distributed, multi-GPU training setups; Troubleshoot and resolve platform-level issues impacting ML productivity; Implement and maintain ML pipelines using Apache Airflow and MLflow; Support CI/CD pipelines for ML code, models, and infrastructure
Seniority
Senior, hands-on IC
