Technical Lead-MLOps

Overview

Lead the development and operation of AWS-based MLOps platforms supporting autonomous-driving machine-learning workloads.

What you'll do

• Build and operate MLOps platforms on AWS.
• Maintain highly available, multi-zone training and deployment environments.
• Operate distributed, multi-GPU training setups such as Ray clusters.
• Maintain infrastructure standards for compute, storage, networking, and security.
• Troubleshoot platform issues affecting ML productivity.
• Implement ML pipelines with Airflow and MLflow.
• Support GitHub-based CI/CD pipelines for ML code, models, and infrastructure.

What you'll need

• 5+ years of experience.
• Hands-on AWS experience for ML workloads.
• Experience with multi-GPU or distributed training using Ray or an equivalent.
• Experience with Kubernetes or EKS.
• Experience with Terraform for infrastructure as code.
• Experience with Airflow and MLflow.
• Proficiency in Python and experience building GitHub-based CI/CD pipelines.

Details

• Location: Bangalore, India.