MLOps Engineer

Help shape the future of mobility by building and operating MLOps platforms on AWS supporting autonomous driving ML workloads, implementing and maintaining highly available, multi-zone training and deployment environments, and assisting in maintaining infrastructure standards for compute, storage, networking, and security.

Requirements

• 5+ years experience
• Strong hands-on experience with AWS for ML workloads
• Practical experience with multi-GPU / distributed training (Ray or equivalent), Kubernetes / EKS, Infrastructure as Code (Terraform), Airflow and MLflow, Proficient Python for automation, pipelines, and tooling, Experience building and operating CI/CD pipelines (GitHub)

Benefits

• Hybrid and flexible working hours
• Higher Education Opportunities
• Life and accident insurance
• Sodexo cards for food and beverages
• Well Being Program
• EAP Employee Assistance
• Access to fitness clubs
• Creche facility for working parents