MLOps Engineer

aptiv; Chennai District; Hybrid; INR 3,500,000 - 6,000,000; Full time

Benefits offered by this job

Hybrid work hours

Continuing education funding (Udacity,

Life and accident insurance

Sodexo cards

Well Being Program

Employee Assistance Program

Fitness club access

Creche facility for working parents

Job summary

Aptiv is seeking an experienced MLOps Engineer to build and operate ML platforms on AWS for autonomous driving workloads. You will implement scalable training environments, manage multi-GPU setups with Ray, and maintain pipelines with Airflow and MLflow in a hybrid work setting.

The role requires strong Python automation, IaC with Terraform, and CI/CD experience using GitHub. You will ensure reproducible, traceable, auditable ML workflows aligned with automotive engineering standards.

Qualifications

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

Responsibilities

• Build and operate MLOps platforms on AWS for autonomous driving ML workloads.
• Implement and maintain highly available, multi-zone training and deployment environments.
• Operate distributed, multi-GPU training setups (Ray clusters).
• Assist in maintaining compute, storage, networking, and security infrastructure standards.
• Troubleshoot and resolve platform-level issues impacting ML productivity.
• Implement and maintain ML pipelines using Airflow and MLflow.
• Support CI/CD pipelines for ML code, models, and infrastructure (GitHub).
• Ensure ML workflows are reproducible, traceable and auditable.

Skills

AWS for ML workloads

Multi-GPU training (Ray)

Kubernetes / EKS

Terraform

Airflow

MLflow

Python automation

CI/CD with GitHub

Tools

Kubernetes / EKS

Ray

Terraform

Airflow

MLflow

GitHub

Python

Job description

MLOps Engineer

Help shape the future of mobility. Imagine a world with zero vehicle accidents, zero vehicle emissions, and wireless vehicle connectivity all around us. Every day, we move closer to making that world a reality. 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.

Your Role

• 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
• Implement and maintain ML pipelines using:
  • Apache Airflow for orchestration
  • MLflow for experiment tracking, model versioning, and lifecycle management
• Support CI/CD pipelines for ML code, models, and infrastructure (GitHub‑based)
• Ensure ML workflows are:
  • Reproducible
  • Traceable
  • Auditable (aligned with automotive engineering expectations)

Your Background

• 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)

Why join us?

You can grow at Aptiv.Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.

You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.

You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

Your Benefits at Aptiv:

• Hybrid and flexible working hours;
• Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development);
• Life and accident insurance;
• Sodexo cards for food and beverages
• Well Being Program that includes regular workshops and networking events;
• EAP Employee Assistance;
• Access to fitness clubs (T&C apply);
• Creche facility for working parents;

#LI-NB1

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.