MLOps Engineer

About the role

Aptiv’s passionate team of engineers and developers creates advanced safety systems, high-performance electrification solutions and data connectivity solutions so that automakers can bring advanced capabilities to more people around the globe. This is how we enable sustainable mobility and help to prevent accidents caused by human error.

What you'll do

• Build and operate MLOps platforms on AWS supporting autonomous driving ML workloads
• Implement and maintain highly available, multi‑zone training and deployment environments
• Operate distributed, multi‑GPU training setups (e.g., Ray clusters)
• Assist in maintaining infrastructure standards for compute, storage, networking, and security
• Troubleshoot and resolve platform‑level issues impacting ML productivity

What you need

• 5–9 years in data science & ai
• MLOps
• Machine learning
• Python
• AWS
• Airflow
• CI/CD
• Any graduate

Good to have

• Git
• Terraform
• Kubernetes