Engineering Group Manager- MLOps

Overview

MLOps Engineering Group Manager to build and operate MLOps platforms and ML infrastructure on AWS for autonomous driving ML workloads.

What you'll do

• Build and operate MLOps platforms on AWS for autonomous driving ML workloads.
• Implement and maintain multi-zone training and deployment environments.
• Operate distributed multi-GPU training setups (e.g., Ray clusters).
• Deploy and operate ML workloads on Amazon EKS/Kubernetes with AWS VPC networking and S3 data storage.
• Implement and maintain ML pipelines using Apache Airflow and MLflow.
• Build monitoring and logging for ML pipelines, training jobs, deployed models, and infrastructure.
• Participate in incident response, root cause analysis, and post-mortems.

What you'll need

• 13+ years of experience.
• Hands-on experience with AWS for ML workloads.
• Practical experience with multi-GPU/distributed training (Ray or equivalent).
• Practical experience with Kubernetes/EKS and infrastructure as code using Terraform.
• Experience with Apache Airflow and MLflow.
• Proficiency in Python for automation, pipelines, and tooling.
• Experience building and operating CI/CD pipelines (GitHub-based).

Nice to have

• Working knowledge of perception systems and behavioral/decision-making ML components.
• Prior experience in automotive/ADAS/autonomous driving environments.
• Awareness of constraints related to safety-critical systems and real-time/near-real-time performance.

Details

• Hybrid and flexible working hours are mentioned.