MLOps Engineer

Aptiv
Chennai, Tamil Nadu, India

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.

Score my resume against this job, free →

Questions about this job

How do I apply for the MLOps Engineer job at Aptiv?

Use the apply link on this page: you apply directly with Aptiv on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Aptiv want for this MLOps Engineer role?

The job description asks for AWS for ML workloads, Multi‑GPU / distributed training, Kubernetes / EKS, Infrastructure as Code (Terraform), Airflow, MLflow, Python for automation, pipelines, and tooling and CI/CD pipelines (GitHub). Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Aptiv?

Apply to the Aptiv roles that match your experience, and tailor your resume to each job description: for this role that means showing AWS for ML workloads, Multi‑GPU / distributed training, Kubernetes / EKS. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this MLOps Engineer job remote or onsite?

This is based in Chennai, Tamil Nadu.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Aptiv, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

Will you get shortlisted for this role? Check your match free →