Engineering Group Manager- MLOps
Core
Build and operate MLOps platforms on AWS supporting autonomous driving ML workloads, including distributed training, CI/CD pipelines, and infrastructure for perception and decision-making systems.
Role type
Senior MLOps Platform Manager (Autonomous Driving)
Builds
Highly available, multi-zone training and deployment environments for ML workloads on AWS
Domain
Automotive / Autonomous Driving / Cloud Infrastructure
Deliverable
production ML models
Required skills
AWS (EKS, VPC, S3, Lambda, IoT), Kubernetes, Terraform, Apache Airflow, MLflow, Python, CI/CD (GitHub), Distributed/Multi-GPU training (Ray)
Preferred skills
Automotive/ADAS experience, Perception systems knowledge, Safety-critical system constraints awareness
Technologies
AWS, Kubernetes, Terraform, Apache Airflow, MLflow, Ray, Python, GitHub
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; Implement and maintain ML pipelines for orchestration, experiment tracking, and lifecycle management; Support large-scale data ingestion and preprocessing pipelines; Build and maintain monitoring and logging for ML pipelines and deployed models; Partner with ML engineers to improve training performance and streamline workflows.
Seniority
Senior, hands-on IC with management responsibilities
