MLOps Engineer
At a glance
Mid-level ML Platform & Ops role at Aptiv. Chennai · full-time.
Pay not stated ML Platform & Ops salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and run AWS platforms that support machine-learning work for autonomous driving
- Keep training and deployment environments available across multiple zones
- Operate distributed training across multiple GPUs, including Ray clusters
- Maintain infrastructure for compute, storage, networking and security, and fix platform issues that slow ML teams
- Set up Airflow and MLflow pipelines, plus GitHub-based CI/CD for ML code, models and infrastructure
What you bring
- At least five years of experience
- Hands-on AWS experience supporting machine-learning workloads
- Practical experience with distributed multi-GPU training, Kubernetes or EKS, and Terraform
- Experience using Airflow and MLflow, with Python skills for automation and pipelines
- You have built and operated GitHub-based CI/CD pipelines
Who this fits
This mid-level role suits an engineer who can combine cloud infrastructure, distributed training and ML workflow tooling. It is based in Chennai, India, with hybrid work and flexible hours.
From the employer
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
Key ingredients for succeeding in this role are your:
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;
Apply today, and together let’s change tomorrow!
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.